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https://www.coursef.com/saxon-math-book-course-2-online | math | SAXON MATH BOOK COURSE 2 ONLINE
- SAXON MATH BOOK COURSE 2 ONLINE
Saxon Math Course 2 Student Book.pdf - Google Drive
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Saxon Math Course 2Saxon Math Course 2. Saxon Math Course 2. ISBN: 9781591418351 / 1591418356. Textbook solutions. FREE. Expert verified. 220. Buy the book on.
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Get the exact Saxon Math Math - Course 2 help you need by entering the page number of your Saxon Math Math - Course 2 textbook below. Math - Course 2 Hake. Saxon Math. 2007. …
Saxon Math, Course 2 (Student Edition) Online Ebook ...
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Download saxon math course 2 or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get saxon math course 2 book now. This site is …
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Saxon Math Textbooks. Saxon Math 4. Saxon Math 54. Supplemental Practice. Saxon Math 5. Saxon Math 65. Supplemental Practice. Saxon Course 1. Saxon Math 76. Supplemental Practice. Saxon Course 2. Saxon Course …
Saxon Courses 1-3 (Gr. 6-8) | Rainbow Resource
Saxon Math Courses 1-3 for Grade 6, 7 and 8. Designed as a classroom curriculum and now available to the homeschool market, Saxon Math Course 1, Course 2 and Course 3 are a 2012 version of Saxons middle school math and are roughly comparable to Math 7 6, Math 8 7 and Algebra 1/2.
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You can download Saxon Math, Course 2 (Student Edition) and Choose the format of the ebook todownload PDF, Epub, Kindle, TXT, and Doc. and you can save this ebook to your …
The instructor has taught using John Saxon’s math books for more than a dozen years. While this online series was designed to augment and enhance John Saxon’s upper level math textbooks, these lessons can also be used with other math …
Student Edition SAXON MATH
Saxon Math 5/4, Third Edition, Student Edition may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, ... the mathematics you have learned. This book was written to help you learn mathematics and to learn it well. For this to happen, you must use the book …
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Download our saxon math course 2 assessments pdf eBooks for free and learn more about saxon math course 2 assessments pdf. These books contain exercises and tutorials to …
Math - Saxon Course 2 - Google Sites
Math - Saxon Course 2. Search this site. Home Page; Lessons 1 - 10 Lessons 11 - 20. Lessons 21 - 30. Lessons 31 - 40. Lessons 41 - 50. Lessons 51 - 60 ... Homework is accepted one day late for 1/2 …
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Saxon Math has consistently been one of homeschoolers' top choices when it comes to math curriculum. Saxon's incremental approach to education has been proven to be one of the …
Saxon Math (Course 3)
Welcome Saxon Math Guest. Saxon (Course 3) Section 1 Lesson 1 . Number line - ordering integers Lesson 2. ... Lesson 3 . Subtraction Word Problems (Please ignore the Title "Lesson 15" this is covered in Lesson 3 of Our Books ) Lesson 3 . Addition Word Problems (Please Ignore the title Lesson 14 - this Topic is covered in lesson 3 of our Books ...
7 Things Homeschoolers Should Know About Saxon Math ...
Here is Saxon’s recommendation for the order of Saxon math books: Kindergarten – Saxon K 1st grade – Saxon Math 1 2nd grade – Saxon Math 2 3rd grade – Saxon Math 3 4th grade – Saxon Math 5/4 5th grade – Saxon Math 6/5 6th grade – Saxon 7/6 7th grade – Saxon 8/7 or Algebra 1/2** (See explanation below) 8th grade – Saxon …
Amazon.com: saxon math course 2
Saxon Math Course 3, Teacher's Manual Volume 2, Common Core Edition, 9781591418870, 1591418879, 2012
Using John Saxon's Math Books - How homeschool parents can ...
This same entry level problem can occur when switching to Saxon at any level in the Saxon math series from Math 54 through the upper level algebra courses; however, the curriculum shock is less dynamic and discouraging when the switch is made after moving from a fifth grade math curriculum into the Saxon sixth grade Math 76 book.
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Saxon Math Course 2 With Teachers Manual. $20.50. 4 bids. $10.00 shipping. Ending Today at 8:17AM PDT 2h 1m. Watch. Saxon Math 2 Student Workbook Part 1 One 2nd Grade . ... Saxon Math Homeschool Grade 2 Meeting Book - NEW! $17.88. Free shipping. 3 brand new from $17.88. Watch. Saxon math …
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Can you get a degree online?
A college education doesn't have to be inconvenient. Our online college degree programs let you work towards your academic goals without dropping your family or professional obligations. You can get an associate, bachelor's, master's or doctoral degree online.
Is financial aid available?
Just as financial aid is available for students who attend traditional schools, online students are eligible for the same – provided that the school they attend is accredited. Federal financial aid, aid on the state level, scholarships and grants are all available for those who seek them out. Here’s what students need to know about financial aid for online schools.
Can I put online courses on my resume?
Yes. It is a good idea to put Relevant completed online courses on your resume, especially if you have a certificate for it. In the Education section, write about your formal education - namely, your Bachelor and Masters degrees.
Is online study good or bad?
Online schooling is a good option if you do good time management and follow a well prepared time table. Consider it as a great opportunity to learn more and learn better! As we all know excess of everything is bad. Everything has a limit if u doing it in efficient and effective manner. | s3://commoncrawl/crawl-data/CC-MAIN-2020-45/segments/1603107881551.11/warc/CC-MAIN-20201023234043-20201024024043-00661.warc.gz | CC-MAIN-2020-45 | 6,606 | 49 |
http://www.chegg.com/homework-help/questions-and-answers/test-charge-q-twopositive-charges-find-force-newtons-testcharge-q-2-c-give-positiveanswer--q456050 | math | q1 and q are 3cm apart.
q2 and q are 2cmapart.
(b) Find the electric field (innewtons/coulomb) at the position of test charge. Again, supply apositive value if the electric field points to the right and anegative value if it points to the left.
-(a)The force I calculated was+95 N because it was to the right.
-(b) I know that the answershould be 47 500 000 N/C, however I dont know if it should benegative or positive | s3://commoncrawl/crawl-data/CC-MAIN-2016-36/segments/1471983077957.84/warc/CC-MAIN-20160823201117-00262-ip-10-153-172-175.ec2.internal.warc.gz | CC-MAIN-2016-36 | 418 | 5 |
http://applewirelesskbrd.codeplex.com/workitem/1293 | math | There is an unsaved comment in progress. You will lose your changes if you continue. Are you sure you want to reopen the work item?
Eject not working + suggestion/request
Hello. I'm running Windows 8 and the only option that doesn't seem to work is the eject one. Any ideas on how to fix this?
I would also like to ask for the "@" and " " " symbols to be switch if possible, without switching "2" and " ' " | s3://commoncrawl/crawl-data/CC-MAIN-2017-13/segments/1490218205046.28/warc/CC-MAIN-20170322213005-00266-ip-10-233-31-227.ec2.internal.warc.gz | CC-MAIN-2017-13 | 406 | 4 |
https://stats.stackexchange.com/questions/393516/random-effect-vs-fixed-effect-with-a-huge-amount-of-dummies | math | I am interested in examining inventor features on their inventive performance using patent data. I have an unbalanced panel data of 7000 inventor-year observations on 3000 inventors over 15 years within one firm. The results of the inventor- and year-fixed effect model are very different from these of the random effect with the year-fixed effect only. The result of Hauseman test is significant, suggesting that I should use the fixed effect model rather than random effect to control inventor unobservable heterogeneity.
I guess the difference comes from the huge number of control variables – more than 3000 inventor dummies. As I have 3000 inventors and by average each inventor has only 3.5 observations, I am wondering which method I should choose and what I should do. | s3://commoncrawl/crawl-data/CC-MAIN-2021-04/segments/1610704803308.89/warc/CC-MAIN-20210126170854-20210126200854-00705.warc.gz | CC-MAIN-2021-04 | 778 | 2 |
https://avesis.istanbul.edu.tr/yayin/5fbfe063-6c7f-4ba2-b25c-d576399fe1cb/fluid-inclusion-characteristics-of-the-kisladag-porphyry-au-deposit-western-turkey | math | The deposit occurs in a mid-Miocene monzonite magmatic complex represented by three different intrusions, namely Intrusion 1 (INT#1), Intrusion 2 (INT#2, INT #2A), and Intrusion 3 (INT#3). Gold mineralization is hosted in all intrusions, but INT#1 is the best mineralized body followed by INT#2. SEM-CL imaging has identified two different veins (V1 and V2) and four distinct generations of quartz formation in the different intrusions. These are: (i) CL-light gray, mosaic-equigranular quartz (Q1), (ii) CL-gray or CL-bright quartz (Q2) that dissolved and was overgrown on Q1, (iii) CL-dark and CL-gray growth zoned quartz (Q3), and (iv) CL-dark or CL-gray micro-fracture quartz fillings (Q4). Fluid inclusion studies show that the gold-hosted early phase Q1 quartz of V1 and V2 veins in INT#1 and INT#2 was precipitated at high temperatures (between 424 and 594 degrees C). The coexisting and similar ranges of T-h values of vapor-rich (low salinity, from 1% to 7% NaCl equiv.) and halite-bearing (high salinity: >30% NaCl) fluid inclusions in Q1 indicates that the magmatic fluid had separated into vapor and high salinity liquid along the appropriate isotherm. Fluid inclusions in Q2 quartz in INT#1 and INT#2 were trapped at lower temperatures between 303 and 380 degrees C and had lower salinities between 3% and 20% NaCl equiv. The zoned Q3 quartz accompanied by pyrite in V2 veins of both INT#2 and INT#3 precipitated at temperatures between 310 and 373 degrees C with a salinity range from 5.4% to 10% NaCl eq. The latest generation of fracture filling Q4 quartz, cuts the earlier generations with fluid inclusion Th temperature range from 257 to 333 degrees C and salinity range from 3% to 12.5% NaCl equiv. The low salinity and low formation temperature of Q4 may be due to the mixing of meteoric water with the hydrothermal system, or late-stage epithermal overprinting. The separation of the magmatic fluid into vapor and aqueous saline pairs in the Q1 quartz of the V1 vein of the INT#1 and INT#2 and CO2-poor fluids indicates the shallow formation of the Kisladag porphyry gold deposit. | s3://commoncrawl/crawl-data/CC-MAIN-2021-25/segments/1623487613453.9/warc/CC-MAIN-20210614201339-20210614231339-00389.warc.gz | CC-MAIN-2021-25 | 2,101 | 1 |
http://productivity.stackexchange.com/questions/tagged/group-productivity+time-management | math | Personal Productivity Meta
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cc by-sa 3.0 | s3://commoncrawl/crawl-data/CC-MAIN-2014-42/segments/1413507445886.27/warc/CC-MAIN-20141017005725-00347-ip-10-16-133-185.ec2.internal.warc.gz | CC-MAIN-2014-42 | 2,288 | 53 |
http://acne-advisors.com/kylie_kylie_cream_sand_cardigan_cream_cream_cardigan_sand_7xuguqw/1886c1dd143a919-water/283fdfac8ab9151.cgi | math | KYLIE KYLIE Cream sand Cardigan Cream Cream Cardigan sand 7xUgUqw
Cardigan Cream KYLIE sand Outlet Very Cheap Discount Great Deals Fast Delivery Cheap Online M41VRU Calculator Use
Convert a number to and from scientific notation, e notation, engineering notation and real numbers. Enter a number or a decimal number or scientific notation and the calculator converts to scientific notation, e notation and engineering notation formats.
To enter a number in scientific notation use a carat ^ to indicate the powers of 10. You can also enter numbers in e notation. Examples: 3.45 x 10^5 or 3.45e5.
How to Convert a Number to Scientific Notation
The proper format for scientific notation is a x 10^b where Cream KYLIE Cardigan sand Outlet Enjoy Low Cost Online Discount Visa Payment zrQgweNJY a is a number or decimal number such that the absolute value of KYLIE sand Cardigan Cream Discount Visa Payment Cheap Affordable Outlet Very Cheap Low Cost Online Outlet Footaction t6C1qbBzXr a is greater than or equal to one and less than ten or, 1 ≤ | a | < 10. b is the power of 10 required so that the scientific notation is mathematically equivalent to the original number.
- Move the decimal point in your number until there is only one non-zero digit to the left of the decimal point. The resulting decimal number is a .
- Count how many places you moved the decimal point. This number is b .
If you moved the decimal to the left
Cardigan KYLIE sand Cream Low Cost Online fYIavuDrg6 If you moved the decimal to the right b is negative.
If you did not need to move the decimal b = 0 .
- Write your scientific notation number as a x 10^b and read it as " a times 10 to the power of b ."
- Remove trailing 0's only if they were originally to the left of the decimal point.
Example: Convert 357,096 to Scientific Notation
- Move the decimal 5 places to the left to get 3.57096
- a = 3.57096
- We moved the decimal to the left so b is positive
- b = 5
- The number 357,096 converted to scientific notation is 3.57096 x 10^5
Example: Convert 0.005600 to Scientific Notation
- Move the decimal 3 places to the right and remove leading zeros to get 5.600
- a = 5.600
- We moved the decimal to the right so b is negative
- b = -3
- The number 0.005600 converted to scientific notation is 5.600 x 10^-3
- Note that we do not remove the trailing 0's because they were originally to the right of the decimal and are therefore significant figures .
KYLIE sand Cardigan Cream Discount Visa Payment 2YNw8h6 E notation is basically the same as scientific notation except that the letter e is substituted for "x 10^".
Convert Scientific Notation to a Real Number
Multiply the decimal number by 10 raised to the power indicated.
3.456 x 10^4 = 3.456 x 10,000 = 34560
Cardigan KYLIE sand Cream Outlet Very Cheap Outlet Enjoy Discount Great Deals Low Cost Online sepcK 3.456 x 10^-4 = 3.456 x .0001 = 0.0003456
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to add, subtract, multiply and divide numbers in scientific notation or E notation.
To round significant figures use the
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https://www.citehr.com/149030-superannuation-commutation-amt-annutiy-installment-calculation.html | math | Thanks a lot, Vipin for the reply.
I couldn't find the answer for my case in the doc.
I had received a letter from LIC stating the details of the money paid. There is an amount mentioned as "Amount Payable to Nominee". Is this the total amount that was credited to my superannuation account till my resigning date?
My commutative amount was calculated as 50 % of the "Amount Payable to Nominee". So finally what I received from my company is a check for the amount after deducting 30% tax on the commutative amount.
For eg -
Amount payable to nominee = Rs 10000
Commutation amount = 50% of 10000 = Rs 5000
Amount I received after tax = 3500 (5000 - (5000 * 30%))
My concern is with the amount mentioned under "Amount Payable to nominee", if it is the total amount in my account, what is mentioned in the letter is not correct which will in turn affect my commutation amount.
I have been talking to my HR to clarify this, but haven't got it resolved yet.
Please clear this for me.
5th March 2009 From United States, Hayward | s3://commoncrawl/crawl-data/CC-MAIN-2017-26/segments/1498128321536.20/warc/CC-MAIN-20170627185115-20170627205115-00158.warc.gz | CC-MAIN-2017-26 | 1,022 | 12 |
https://www.kizi-mizi.com/raze-2 | math | Another scene of the roll out. After 9 years, gather the elite unit again and raze everything to the ground, kill all aliens and save the human race. Don't get killed and be careful not to hit the members of your own crew. Find three artifacts that will help you save mankind from approaching meteorites!You can play this online game only on a computer or laptop.
Average ratings Raze 2 is 100/100. The game was given 3 votes. The game has now 2190 page views. The game was proposed on: 22 January 2020. Search for games with positive emotions#Alien games#Shooting games#Action games#Zombie games#Games for boys#Juice Tin | s3://commoncrawl/crawl-data/CC-MAIN-2020-34/segments/1596439738674.42/warc/CC-MAIN-20200810102345-20200810132345-00511.warc.gz | CC-MAIN-2020-34 | 621 | 2 |
http://mathhelpforum.com/algebra/196991-complex-roots-cubic-equation.html | math | Can someone tell me how to convert:
(x + 5.4 - 7.2i)(x + 5.4 + 7.2i)(s + 5)
to Cubic form please
Follow Math Help Forum on Facebook and Google+
Should that last bracket have x + 5 in it instead of s + 5? If not, you don't have a cubic...
yeah sorry, its x + 5
Do you know how to distribute from one polynomial to another? i.e. multiply them?
View Tag Cloud | s3://commoncrawl/crawl-data/CC-MAIN-2017-17/segments/1492917119356.19/warc/CC-MAIN-20170423031159-00078-ip-10-145-167-34.ec2.internal.warc.gz | CC-MAIN-2017-17 | 356 | 8 |
http://www.algebra.com/algebra/homework/Exponents-negative-and-fractional/Exponents-negative-and-fractional.faq.question.69922.html | math | -> SOLUTION: (16)3/2
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So you can find what 16 cubed is first and take the square root of the answer
Now take the square root | s3://commoncrawl/crawl-data/CC-MAIN-2013-20/segments/1368706635063/warc/CC-MAIN-20130516121715-00078-ip-10-60-113-184.ec2.internal.warc.gz | CC-MAIN-2013-20 | 483 | 10 |
https://www.abbeys.com.au/book/spectral-theory-and-geometry.do | math | This volume brings together lectures from an instructional meeting on spectral theory and geometry held under the auspices of the International Centre for Mathematical Sciences in Edinburgh. The contributions here come from world experts and many are much expanded versions of the lectures they gave. Together they survey the core material and go beyond to reach deeper results. For graduate students and experts alike, this book will be a highly useful resource.
1. Basic Riemannian geometry F. E. Burstall; 2. The Laplacian on Riemannian manifolds I. Chavel; 3. Computational spectral theory E. B. Davies; 4. Isoperimetric and universal inequalities for eigenvalues M. Ashbaugh; 5. Estimates of heat kernels on Riemannian manifolds A. Grigoryan; 6. Spectral theory of the Schroedinger operators on non-compact manifolds: qualitative results M. Shubin; 7. Lectures on wave invariants S. Zelditch.
Reviews for Spectral Theory and Geometry
'The book provides an excellent overview of the relation between the spectral theory of partial differential operators and the geometry of the underlying manifolds.' Dmitri Vassiliev, Bulletin of the London Mathematical Society 'For graduate students and experts alike, this book will be a highly useful resource.' L'Enseignement Mathematique | s3://commoncrawl/crawl-data/CC-MAIN-2021-10/segments/1614178356456.56/warc/CC-MAIN-20210226085543-20210226115543-00113.warc.gz | CC-MAIN-2021-10 | 1,281 | 4 |
http://www.openwindowlearning.com/topic/understanding-simple-interest/ | math | GED Mathematical Reasoning: Understanding Simple Interest
- Interest is a fee for using someone else’s money. When you invest money, the bank pays you a fee for allowing them to use your money. When you borrow money, you pay the lender a fee for the use of their money. In both cases, this fee is called: interest.
- The amount of money invested or borrowed is called the principal. Simple interest is a special kind of interest based only on the amount invested or borrowed, an interest rate, the time frame (in years).
- To calculate simple interest, we use the following formula:
I = interest
p = principal
r = rate (as a decimal)
t = time (in years)
Robert invests $5,000 for 20 years at 3% interest. Using the simple interest formula, how much interest will he earn?
First let’s make a note of what it is we’re being asked to find. In this case, we’re being asked to find the amount of interest Robert will earn on his investment. In terms of the formula, we need to find “I,” the interest.
Next, let’s identify the information we’re given. It’s a good idea to jot this down on your paper. We’re told that the amount of money invested is $5,000, the time frame is 20 years and the interest rate is 3%. When using the simple interest formula, remember to turn the percent into a decimal. To do so, move the decimal point two places to the left and drop the percent sign. You may need to add zeros as placeholders.
So we know p equals $5,000, t equals 20 and r equals 3%, which is 0.03 written as a decimal. Since we know the values for principal, time, and rate it makes sense that we would apply the simple interest formula to find the interest earned as the example directs us to do.
So the interest Robert will earn investing $5,000 over 20 years at a 3% simple interest rate is $3,000
Does the answer make sense? Well, 3% of $5,000 is $150, which we can find by multiplying 0.03 by $5,000 since the word “of” implies multiplication. And $150 per year for 20 years results in a total amount of $3,000. So yes, our answer makes perfect sense!
Dexter borrows $1500 from his grandfather for 6 months at 2.5% simple interest. What is the total amount Dexter will pay back when the loan is due?
In example one, money was being invested. In this example money is being borrowed, however, to calculate the simple interest involves the same process either way.
When we read example two, we are told that the interest on this loan is being paid according to the simple interest calculation, but notice what we’re being asked to find. It’s not the interest. We need to find the total amount of money Dexter will repay.
First, let’s make a note of the information we’re given. We’re told that the amount of money borrowed is $1500, the time frame is 6 months and the interest rate is 2.5%. So we know p equals $1,500 and r equals 2.5%, which – as a decimal – is 0.025.
Let’s talk for a moment about the time frame, t. In the simple interest formula, the time frame needs to be in terms of years. Here, the time frame is given in terms of months. So how do we convert 6 months to years? Since there are twelve months in one year, we will convert 6 months to years by writing: 6 over 12. 6 months can be written as: one-half years. So, t equals 0.5
The interest rate is given in the example as a simple interest rate and we know the values for principal, rate, and time, so it makes sense that we would apply the simple interest formula to find the interest that Dexter will pay as a fee for borrowing the money. However, we’re not being asked to find the amount of interest. We’re being asked to find the total amount Dexter will repay, which consists of the amount of money borrowed PLUS the interest, which is the fee he will pay for borrowing the money.
Therefore, we need to find the amount of interest first. And then add the interest to the loan amount, making this a two-step problem. That sum will equal the total amount of money Dexter will repay to his grandfather.
Okay! Let’s get started.
First, we’ll find the amount of interest by applying the simple interest formula.
So the interest on the loan is: $18.75. But we’re not done yet because we haven’t answered the question.
We must finish by accomplishing step 2 of our plan to find the total amount of money Dexter will repay to his grandfather. Dexter will repay the original loan amount of $1,500 plus interest in the amount of $18.75.
Total Amount Repaid = Original Loan Amount + Interest
Total Amount Repaid = $1500 + $18.75 = $1518.75
So the total amount of money Dexter will repay his grandfather is: $1,518.75. What do you think? Does this answer make sense?
$1,500 is not a huge loan amount, the interest rate is relatively low, and the time frame of the loan is very short – not even one year! So it makes sense that the interest amount would not be a very large number. Therefore, yes – our answer makes sense. | s3://commoncrawl/crawl-data/CC-MAIN-2018-17/segments/1524125945552.45/warc/CC-MAIN-20180422080558-20180422100558-00015.warc.gz | CC-MAIN-2018-17 | 4,936 | 29 |
https://www.duxcw.com/dcforum/DCForumID2/1809.html | math | My house is using http://www.greyfox.com/
The telephone line is using cat5 4 pair standard wire so I have 8 wires. My understanding is that telephone uses 2 wires and 10baseT networking uses 4 wires (really 2 but doubling each signal).
But I am told you can't mix different network types on the same cat5 cable? I'm sure it would work but perhaps I would have performance issues. The telephone is also carrying a DSL signal. Would having the telephone and networking on this single cat5 have crosstalk problems? Of course I would wire it like it's described on this site and then use 1 of the unused pairs to carry the dsl/telephone line.
Would this work or should I run another cat5 just for the networking?
I have to make a decision on this today so if someone has some advice on this I would appreciate it. | s3://commoncrawl/crawl-data/CC-MAIN-2019-13/segments/1552912202672.57/warc/CC-MAIN-20190322155929-20190322181929-00004.warc.gz | CC-MAIN-2019-13 | 809 | 5 |
https://en.4hw.com.cn/646/38144.html | math | Mathematics is an important subject, which studies the relationship between quantity and space form. Mathematics can be divided into pure mathematics and applied mathematics. , mathematics has a high degree of abstraction and logicality, the universality of application and the accuracy of description. The power of mathematics often affects the power of a country. Mathematics is also very important for the development of the country. How many countries are there in the world's mathematical powers?
I. The United Kingdom
In the 17th-19th century, Britain, Germany and France were the great powers of Europe and mathematics. As early as in the 17th century, Newton invented calculus, using calculus to study many problems such as mechanics and celestial motion. From this example, it can be seen that England once led the trend in mathematics. It is one of the three mathematical powers.
Russian mathematics began to rise in the 19th century, and then became one of the world's powerful mathematical countries in the 20th century. Especially in 1958, the Soviet Union successfully launched the first artificial earth satellite, shocking the world. It can be seen that the Soviet Union is in the leading position in the field of mathematics, and the Soviet Union attaches great importance to mathematics education, laying a good foundation Make great efforts to develop mathematics.
Three, the United States
The United States is a prosperous metropolis, which has become a mathematical superpower. Before the war, many European Jewish mathematicians were forced to immigrate to the United States, which strengthened the mathematical strength of the United States and made a great contribution to the economic strength. The United States is a powerful country among the three mathematical powers. Later, the United States strengthened the research and education of mathematics. The United States, which has a good foundation of Applied Mathematics in the fields of science and technology, industry and commerce, military departments and other industries, rapidly developed into a mathematical power. Later, after the collapse of the Soviet Union and Eastern Europe, the United States absorbed many excellent mathematicians.
Mathematics is an important subject. It can also broaden our horizons and make people smart. There are great differences between observing the world and thinking about problems. At present, the state strengthens and improves higher mathematics education to train more excellent students and innovative talents for the motherland. | s3://commoncrawl/crawl-data/CC-MAIN-2021-39/segments/1631780057337.81/warc/CC-MAIN-20210922072047-20210922102047-00603.warc.gz | CC-MAIN-2021-39 | 2,553 | 7 |
https://www.answerswave.com/ExpertAnswers/qu-1-consider-the-following-graph-g-with-5-vertices-x-y-2-w-o-find-2-draw-3-let-4-what-in-the-degree-aw897 | math | Home / Answered Questions / Other / qu-1-consider-the-following-graph-g-with-5-vertices-x-y-2-w-o-find-2-draw-3-let-4-what-in-the-degree-aw897
(Solved): . Qu 1. Consider The Following Graph, G, With 5 Vertices X, Y, 2 & W O Find 2 Draw (3 Let 4. What In...
. Qu 1. Consider the following graph, G, with 5 vertices x, y, 2 & w o find 2 Draw (3 let 4. What in the degree sequence of the graph a two non isomorphic spanning trees A be the adocent matrix of G. Writer downt information does the sum of the elemente A tell you about G.
We have an Answer from Expert View Expert Answer | s3://commoncrawl/crawl-data/CC-MAIN-2022-49/segments/1669446710933.89/warc/CC-MAIN-20221203143925-20221203173925-00267.warc.gz | CC-MAIN-2022-49 | 579 | 4 |
http://forums.prosportsdaily.com/printthread.php?t=771656&pp=15&page=75 | math | True...while his conditioning and strength should go up, so will his innings and the level of competition...
I think it's too early to be projecting a guy like Blackburn already. He's young, has good mechanics and polished control. His strength and conditioning will get better as he matures and he still has room to fill out. I could see him adding some mph on his fastball easily.
I think its a rather poor idea to start projecting pitchers a when there that young because you really just don't know what will happen.
You could just change the projection if something new comes up.
*shrug* I'm fine either way. I don't care for doing that much projecting, because it usually ends up being irrelevant, but if others enjoy it, I'm sure there's something there.
I just figure I'll pay attention to which of the live arms turned into something when they hit AA.
NSBB doing a top 30...through 16:
#1: Javier Baez
#2: Jorge Soler
#3: Albert Almora
#4: Arodys Vizcaino
#5: Dan Vogelbach
#6: Brett Jackson
#7: Juan Paniagua
#8: Christian Villanueva
#9: Dillon Maples
#10: Josh Vitters
#11: Pierce Johnson
#12: Junior Lake
#13: Jeimer Candelario
#14: Duane Underwood
#15: Matt Szczur
#16: Arismendy Alcantara
Oh it should look so wonderful after the draft.
Also, Law said "IIRC" so I take it with a grain of salt, regarding Blackburn's velo.
That NSBB list is nearly spot on to mine.
I fully support Soler at number two, ahead of Almora.
There's a decent case that Soler should be #1, but we do not know him well enough yet.
Soler already has a major league build. Physically he's way ahead of everyone else on the list.
I really don't like lists outside of Law, Sickels, BP, and BA because they're not just relying on stats and their own eyes: they're also getting reports from scouts and front office employees all over the game. They have a reach that is very deep and wide. I really have a distaste for aggregators other than just appreciating a different opinion. | s3://commoncrawl/crawl-data/CC-MAIN-2017-17/segments/1492917119356.19/warc/CC-MAIN-20170423031159-00580-ip-10-145-167-34.ec2.internal.warc.gz | CC-MAIN-2017-17 | 1,961 | 30 |
http://lib.mexmat.ru/books/177015 | math | Нашли опечатку? Выделите ее мышкой и нажмите Ctrl+Enter
Название: The theory of distributions: A nontechnical introduction
Авторы: Richards J., Youn H.
This book is a self-contained introduction to the theory of distributions, sometimes called generalized functions. Most books on this subject are either intuitive or else rigorous but technically demanding. Here, by concentrating on the essential results, the authors have introduced the subject in a way that will most appeal to non-specialists, yet is still mathematically correct. Topics covered include: the Dirac delta function, generalized functions, dipoles, quadrupoles, pseudofunctions and Fourier transforms. The self-contained treatment does not require any knowledge of functional analysis or topological vector spaces; even measure theory is not needed for most of the book. The book, which can be used either to accompany a course or for self-study, is liberally supplied with exercises. It will be a valuable introduction to the theory of distributions and their applications for students or professionals in statistics, physics, engineering and economics. | s3://commoncrawl/crawl-data/CC-MAIN-2019-30/segments/1563195525187.9/warc/CC-MAIN-20190717121559-20190717143559-00352.warc.gz | CC-MAIN-2019-30 | 1,174 | 4 |
https://genealogy.math.ndsu.nodak.edu/id.php?id=159780 | math | Dmitry Mikhailovich Dyachenko
Ph.D. Lomonosov Moscow State University 2008
Dissertation: Estimates of the sums of the Fourier coefficients of functions with given modulus of smoothness
Mathematics Subject Classification: 40—Sequences, series, summability
Advisor 1: Mikhail Konstantinovich Potapov
Advisor 2: Piotr Lavrentyevich Ulyanov
No students known.
If you have additional information or corrections regarding this mathematician, please use the update form. To submit students of this mathematician, please use the new data form, noting this mathematician's MGP ID of 159780 for the advisor ID. | s3://commoncrawl/crawl-data/CC-MAIN-2023-14/segments/1679296949009.11/warc/CC-MAIN-20230329151629-20230329181629-00425.warc.gz | CC-MAIN-2023-14 | 602 | 8 |
http://ijm2c.iauctb.ac.ir/article_670737.html | math | Document Type : Full Length Article
Department of Mathematics, Faculty of Arts and Sciences, Giresun University, Giresun, Turkey.
This paper is on the solutions of fuzzy initial value problems for fourth-order fuzzy differential equations with positive and negative fuzzy coefficients by fuzzy Laplace transform. Examples are solved. Conclusions are given. | s3://commoncrawl/crawl-data/CC-MAIN-2022-33/segments/1659882573744.90/warc/CC-MAIN-20220819161440-20220819191440-00434.warc.gz | CC-MAIN-2022-33 | 356 | 3 |
https://ks.shangxueba.com/107704.html | math | What is the hypotenuse of a right triangle with a base of 9 cm and an area of 54 cm2?
What is the area of a circle with a circumference of 14π inches?
If one of the angles of a parallelogram measures 35°, what is the sum of the remaining angles?
A trapezoid has one base of 8 ft, a height of 3 ft, and an area of 30 ft2. What is the length of the other base?
A polygon with four sides and four right angles has one side of 6 mm. If the area of the polygon is 42 mm2, would the polygon be considered a square or a rectangle? | s3://commoncrawl/crawl-data/CC-MAIN-2020-40/segments/1600400206329.28/warc/CC-MAIN-20200922161302-20200922191302-00594.warc.gz | CC-MAIN-2020-40 | 525 | 5 |
http://researchrepository.murdoch.edu.au/id/eprint/6330/ | math | Mathematical interactions: Data analysis and probability
Kissane, B., Harradine, A. and Boys, A. (1999) Mathematical interactions: Data analysis and probability. Shriro Australia Pty Limited, Chatswood, N.S.W.
Calculators are too often regarded as devices to produce answers to numerical questions. However, a graphics calculator like the Casio CFX-9850GB PLUS is much more than a tool for producing answers. It is a tool for exploring mathematical ideas. We have written this book to offer some suggestions of how to make good use of this tool for the particular areas of data analysis and probability.
We assume that you will read this book with the calculator by your side, and make use of it as you read. Unlike some mathematics books, in which there are many exercises of various kinds to complete, this one contains only a few ‘interactions’ and even fewer ‘investigations’. The learning journey that we have in mind for this book assumes that you will complete all the interactions, rather than only some. The investigations will give you a chance to do some exploring of your own.
We also assume that you will work through this book with a companion: someone to compare your observations and thoughts with; someone to help you if you get stuck; someone to talk to about your mathematical journey. Learning mathematics is not meant to be a lonely affair; we expect you to interact with mathematics, your calculator and other people on your journey.
Throughout the book, there are some calculator instructions, written in a different font (like this). These will help you to get started, but we do not regard them as a complete manual, and expect that you will already be a little familiar with the calculator and will also use the Owner’s Manual, our Getting Started book and other sources to develop your calculator skills.
Data Analysis and Probability are two of the topics in General Mathematics. Data analysis can involve data collected by other people or data that you collect for yourself. Both of these aspects are explored in this book. Meaningful interpretation of data analysis also requires some understanding of probability, which is why we have included it in this book. We have also included some exciting material on analysing data produced through simulation. An important source of data, understanding simulation also requires an understanding of the basic ideas of probability. Although we have sampled some of the possible ways of using a graphics calculator to learn about these topics, we have certainly not dealt with all of them.
|Murdoch Affiliation:||School of Education|
|Publisher:||Shriro Australia Pty Limited|
|Copyright:||1999 The Authors|
|Item Control Page| | s3://commoncrawl/crawl-data/CC-MAIN-2017-17/segments/1492917123590.89/warc/CC-MAIN-20170423031203-00231-ip-10-145-167-34.ec2.internal.warc.gz | CC-MAIN-2017-17 | 2,708 | 11 |
http://www.tutionteacher.in/an-electric-iron-of-resistance-20-%CF%89-takes-a-current-of-5-a-calculate-the-heat-developed-in-30-s/ | math | Q. An electric iron of resistance 20 Ω takes a current of 5 A. Calculate the heat developed in 30 s.
Given that Resistance(R) = 20 Ω, Electric current (I)= 5 A and time(t)= 30 s
Now we know that H= I2Rt
∴ The heat developed in 30s is 1.5×104J | s3://commoncrawl/crawl-data/CC-MAIN-2021-31/segments/1627046154466.61/warc/CC-MAIN-20210803155731-20210803185731-00168.warc.gz | CC-MAIN-2021-31 | 247 | 4 |
https://webapps.stackexchange.com/questions/25895/how-do-i-comment-and-edit-on-an-activity-post/25918 | math | I write something on a card in the Activity window and press "Comment". It then posts on the card. Later I would like to have other people comment on the post, or edit it myself or comment on it myself.
How do I do this?
Web Applications Stack Exchange is a question and answer site for power users of web applications. It only takes a minute to sign up.Sign up to join this community
Currently you can delete a comment (and re-add a new one), but you cannot edit a comment, or comment on a comment.
... and to state the obvious:
"Now, later I would like to have other people comment on the post, [...] or commennt on it myself. "
Other people, and you, comment on the post by adding more comments :) | s3://commoncrawl/crawl-data/CC-MAIN-2019-35/segments/1566027313501.0/warc/CC-MAIN-20190817222907-20190818004907-00155.warc.gz | CC-MAIN-2019-35 | 700 | 7 |
http://two-of-us-fic.livejournal.com/ | math | Fandom: Ocean's Eleven
Summary: So tell me if you've heard this one.
Notes: (Set pre-film.) Written for the prompt Something in the way she moves / Attracts me like no other lover. Totally blew the deadline, but any good villain knows the value of second chances. Right? | s3://commoncrawl/crawl-data/CC-MAIN-2017-09/segments/1487501170651.78/warc/CC-MAIN-20170219104610-00010-ip-10-171-10-108.ec2.internal.warc.gz | CC-MAIN-2017-09 | 270 | 3 |
http://www.uah.edu/science/departments/math/research/colloquia/290-main/science/science-mathematical-science/3603-new-approaches-to-bifurcation-analysis-of-nonlinear-elliptic-pdes | math | New Approaches to Bifurcation Analysis of Nonlinear Elliptic PDEs
Dr. Mark Friedman
Department of Mathematical Sciences
University of Alabama in Huntsville
January 29, 1999
Nonlinear elliptic PDEs are the basis for many scientific and engineering problems. In these problems it is crucial to understand the qualitative dependence of the solution on the problem parameters. The area of applied mathematics which deals with these issues is numerical bifurcation theory.
the nonlinear elliptic PDEs are discretized by the Multiquadric Radial Basis Function(MQ) Method, a highly accurate meshless collocation method, with global basis functions. The resulting nonlinear systems, though not sparse, are of dramatically smaller size than those resulting from a standard; e.g., finite difference or finite element discretization. These nonlinear systems can be efficiently continued by existing continuation software, such as AUTO97 or CONTENT98.
We also formulate a new approach for reliable detection of bifurcations in large systems. The approach is based on a new algorithm for continuation of invariant subspaces of a parameter dependent matrix.
The presentation is elementary and is accessible for those familiar with calculus and linear algebra.
- Hits: 90 | s3://commoncrawl/crawl-data/CC-MAIN-2013-20/segments/1368702454815/warc/CC-MAIN-20130516110734-00006-ip-10-60-113-184.ec2.internal.warc.gz | CC-MAIN-2013-20 | 1,256 | 10 |
http://www.allinoneblog.net/use-digital-calculator-and-get-the-correct-results-instantly/ | math | No matter how good in mathematics you are, it is possibly troublesome for you to do a long calculation. However, whether it is for any business purpose or academic needs, you have to calculate a number of figures almost on every day. When you are calculating several numbers in a traditional way with pen and paper, there are some possibilities of mistakes. A single error in any particular numerical figure may lead to the confusion in the overall calculation. So, use calculator to calculate anything. You don’t need to carry any device because the website of ALSOFT has provided the best digital calculator for you.
The online calculator is quite easy to use as you have to use only your mouse to input the numbers and do the calculations. The scientific calculator is designed in such a way that it you may use different variables for a variety of functions. Besides, the graphs are shown in the best manner to enable you in comprehending all functions. Now, see why this mathematical calculator is preferable to all people.
Comfort in Using Digital Calculator
It is now quite simple for you to accomplish all the intricate calculations by means of our online mathematical calculator. Thus, with only the internet connection to your device, you may access the calculator anytime. Though every mobile has calculator, it is not as sophisticated as the web-based calculator.
You have already learnt that digital calculator may be utilized with almost no effort. In addition to it, you can get a guide, if you are not much sure on the buttons that need to be clicked for the particular function.
Comprehensible Interface Of The Calculator
With the phrase- best UI, we generally mean that every button of the calculator is arranged in a proper way. It looks just as the high standard calculators that are found in the market.
Repetition Of The Operation
This web-based calculator enables you in doing the previous operation more than one time with clicks on the = sign button.
Any Calculation Possible With The System
This mathematical calculator may do any kind of computations that are essential for you. For instance, you can calculate everything- starting from logarithms to trigonometry. If you are a student from the branch of Science, then all the difficult calculations are to be done by you. You may save time by using the online calculator. The accurate calculations will also satisfy you all the time.
You may also deal with the calculator in order to do transactions on the basis of fractions and whole numbers. For example, when you need to get logarithmic value, you only have to put the number and then click on the relevant sign. The correct answer may be received instantly. The same thing may be said in case of statistics, calculus and unit conversions.
So, use the best calculator, available at the site of ALSOFT. There is no chance of any error in your calculation. Just open the digital calculator to do your task. | s3://commoncrawl/crawl-data/CC-MAIN-2017-30/segments/1500549426086.44/warc/CC-MAIN-20170726082204-20170726102204-00174.warc.gz | CC-MAIN-2017-30 | 2,938 | 13 |
https://homeschoolsciencegeek.wordpress.com/2017/09/ | math | Students were asked to read 2.1 Seesaws in How Things Work, or Ch 11: Rotation in the Cartoon Guide to Physics and watch the following videos before class. I really enjoy Doc Schuster’s physics videos.
Before we started the lab, I had cut out some very weird shapes out of cardboard and asked the students to find the center of mass of the shapes. Most knew to try to balance the shape on a finger and the center of mass would be the spot above their finger when it was balanced. But some of the shapes didn’t work for this, like the one on the left in the photo below.
Another way to find the center of mass is to hang the object on a nail or tack and then let a string with a weight (plumb line) hang down as well. The center of mass of the object will fall on this line. If you do this from two points (2nd almost horizontal line was found by hanging the shape from the hole on the right), the center of mass can be found at the intersection of the two lines. For this oddball shape below we see the center of mass is not in the object at all, which is why it was impossible to balance it on a finger.
The lab for today was one I did before, but I think we got it to work a bit better this time. Students tied a rubber stopper to a string, fed the string through an acrylic straw and then tied a weight to the other end of the string. By holding on to the straw and letting the string slide through the straw, the students could make the stopper go in a circle of radius r, above their heads at constant speed, v (or at least that’s the goal). The weight on the end of the string is the centripetal force and is measured using a spring scale. For uniform circular motion Fc = mac = mv2/r.
We can rearrange that so v2 = macr. In this lab we measures the velocity of the rubber stopper being swung around at different values of the radius, r. To measure the speed of the stopper we need to know the distance traveled (d = 2 π r x 10) as it completes 10 revolutions and the time, t, it takes to travel that distance: v = d/t. Since its a bit difficult to measure the time of 10 revolutions, students did each measurement 3 times and used the average time to calculate speed. Once they had the speed, v, they found v2 and graphed it as a function of the radius, r. Data should form a line (y= mx + b, v2 = y, m(slope) =ac, x = r and b(y-intercept) = 0 ) with a slope equal to the centripetal acceleration. The value they get from their slope should be the same as Fc / m=ac when they plug in the force of the weights hanging on the string in Newtons and the mass of the stopper in kg (measured on a triple beam balance).
Since there were a lot of calculations in this lab, I encouraged the students to try using a spreadsheet on their tablets or smart phone. Most had never used a spreadsheet before so its a good learning experience. (I frequently get frustrated using Numbers to make graphs and found this website which explained a problem I always had.) Here’s a graph of one set of data and the best line drawn through the data points and the origin.
The slope of this graph is 53 m/s2 which is very close to the value of acceleration found by taking the known force and dividing by the mass of the stopper (54 m/s2).
This lab worked much better this time and I think using the acrylic straws instead of empty pens helped, as did using a larger centripetal force (0.7-1.0 N). | s3://commoncrawl/crawl-data/CC-MAIN-2019-43/segments/1570987795253.70/warc/CC-MAIN-20191021221245-20191022004745-00295.warc.gz | CC-MAIN-2019-43 | 3,387 | 8 |
https://kasmana.people.cofc.edu/MATHFICT/mfview.php?callnumber=mf64 | math | |A beautiful and brilliant woman organizes a team of scientists (and a mathematician) who together make fusion energy efficient and invent a flying submarine...and perhaps a time-machine as well. When one of the team members disappears and another seems to have found a manuscript written by him a hundred years in the future inside a "flying saucer" with a fractal surface, the truth becomes elusive.
As you can see from that description, math is not really central to
this work. It is intriguing that the ship is described as having a surface
based on the Von Koch snowflake curve since the book, written in 1956,
predates the current interest in "fractals" (a word which had not yet even
been coined when the book was written.) Although in more recent works, fractals are always presented as coming from chaos theory, it is presented in this book as a
pathological example in topology that the character had previously sought
to understand. The fact that the resulting
surface area would be infinite (even though the volume finite) is used to
explain unusual properties of the ship. Other mathematical aspects of the
book include the claim that in "the future", language is mathematically
analyzed ("an operational calculus of semantic probability") and reorganized so that all expressions
are explicit and precise. Math is also frequently used as an analogy in
- There is an interesting analogy
made using the snowflake curve describing science as a finite geometric object with
infinite boundary...room for everyone.
"Men and women can never be really happy together until we have worked out
the algebra of love so that we can say exactly what we mean, and prove the
equation of consummation."
- "He had as much success...as he would have had trying to teach a
fifth-century Athenian differential calculus to stop him worrying about the
paradox of the tortoise and the hare."
- "Roughly, I think he went on to define Mentality as the rate of change
of behaviour and this puts Mentality in the class of rational abstractions
such as Velocity and Gravityl then if you like to use thw word Mind,
remember it is just a handy abbreviation...just as Speed is for Velocity."
- "All expression can be defined within this space of three dimensions.
A mathematical expression is high in discipline but close to zero of
ambiguity and may be anywhere on the scale of communication. Poetry and
painting and music -- the arts in general -- may be at any point on a scale
of discipline but are never at zero of ambiguity, though they may have
limited value as communication..."
The author of the book was a famous physiologist working on
electroencephalography. His predictions of the future are interesting both
in how wrong they are as well as occasionally how prescient they
were. For instance, he predicts the birth control pill and the fact that
it helps prevent cancer (both science fiction when the book was written,
even if not particularly far fetched) and he was also a bit ahead of the
curve on "free love"...a topic which he seems to have felt very strongly
about. However, I am surprised that a man with his training would not seem
to understand the chromosomal aspects of sex determination in the male
gametes, or that he would claim that "the degrees of living freedom [are]
so few" that when we find life elsewhere in the universe it is almost
certain to be exactly like us with "only trivial differences".
Joel Schneider, Children's Television Workshop
"The artifact of the title is the Von Koch curve, which is well known now in
the fractal business as the snowflake curve. A time machine figures in
the story and is in the shape of a three-dimensional snowflake curve. I
asked my eighth-grade teacher what that would look like. She suggested that
I figure it out myself. Working on the problem off and on over several
years, I solved it and that's what started me on the road to mathematics. I
found a copy of the book a copy a few months ago thanks to a used book site
on the web. Rereading it after all these years was fun. There's a moral in
my story for teachers."
This book has also been published as Further Outlook.
Maybe my ratings are little out as I read the book more than thirty years back. Anyway I enjoyed it and the curve is still in my memory and I realy drew it step by step till the pencil and paper could not do the job. Maybe I try on the computer now. | s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712296816820.63/warc/CC-MAIN-20240413144933-20240413174933-00588.warc.gz | CC-MAIN-2024-18 | 4,381 | 56 |
https://www.bartleby.com/subject/science/physics/concepts/half-life | math | What is the composition of atomic nuclei ?
The ratio of protons to neutrons inside an atomic nucleus governs its stability. An atomic nucleus contains positively charged protons and neutral neutrons, typically packed within a nuclear radius of order of 10-15 metres. Z represents the total number of protons, whereas A represents total number of nucleons (sum of number of protons and neutrons inside atomic nucleus) of an atomic nucleus, then the nucleus of the element is represented symbolically as .
represents a hydrogen nucleus that has 1 proton and 0 neutrons in its atomic nucleus.
represents bismuth nucleus, that has 83 protons and 209-83 = 126 number of neutrons in its nucleus.
Nuclei that contain the same number of protons, but different number of neutrons are known as isotopes. Carbon element exists in two isotopes forms: 98.9% of carbon atoms are of the form (6 protons + 6 neutrons), whereas 1.1% of carbon atoms are of the form (6 protons + 7 neutrons).
What decides the stability of the atomic nucleus?
Protons repel each other with long-range electrostatic forces between each other. It’s the strong binding nuclear forces between nuclear particles that hold the atomic nucleus together. Nuclear forces are short range, strongly attractive and charge independent. For a nucleus to be stable, the electrostatic repulsion is balanced by the attraction between the nucleons. But one proton can repel all the protons in the nucleus, as electrostatic forces are long range. On the other hand, a proton or a neutron can attract only its immediate neighbors with nuclear forces as these are short range forces. With the increase in the number of protons the number of neutrons in the nuclei has to increase in order to maintain the stability of the atomic nucleus. There comes a point when the large number of neutrons no longer achieves the balance of electrostatic and nuclear forces.
The stable nucleus with large number of protons is Z = 83 is that of bismuth which contains 126 neutrons. All nuclei with number of protons in excess of 83 are seen as unstable. These nuclei spontaneously decay or rearrange their internal structures with time to achieve greater stability. This spontaneous disintegration of atomic nucleus causing rearrangement of internal structures is called radioactivity. This phenomenon was first discovered by the French physicist, Henry Becquerel in 1896.
When an unstable or radioactive nucleus disintegrates spontaneously, certain kinds of particles or rays or high-energy photons or radiation are released. These rays produced by naturally occurring radioactive nuclei are alpha (α) rays , beta (β) rays and gamma (γ) rays.
α rays consist of positively charged particles, each one being the nucleus of helium. β rays consist of negatively charged electrons along with an energy particle neutrino. γ rays are high energy electromagnetic radiations that do not cause a transmutation of one element into another. Its release simply results in change of energy levels of the nucleus.
In a group of radioactive sample of nuclei, individual disintegration occurs randomly. As time advances, the number N of parent nuclei decreases in a given sample.
The figure shows a graph between number of radioactive nuclei N along y axis versus time in seconds along the x axis. The plot shows an exponential fall in the number of radioactive nuclei with time.
This graph of N versus time T indicates that the decrease occurs in smooth fashion. Number of atoms N approaches to 0 after enough time has elapsed.
Half-life, T1/2 time of radioactive nuclei is defined as time required by one-half of the number of parent radioactive nuclides to decay by half in number or reduce to half the number.
For example, radioactive Radium element, disintegrates into half of its original number in about 1600 years. In another 1600 years, another half the numbers will disintegrate, leaving only one fourth of the original numbers intact. So if in the above graph, if at time T = 0, the number of radioactive nuclides are No, after time = T1/2 , the number present is N = No/2. Further at time = 2T1/2, the number present will be N = No/4 .
The value of half-life of radioactive nuclides depends upon the nature of the sample. It may vary from few seconds to billions of years.
The activity of radioactive sample is the number of disintegration per second that occur in a given sample of radioactive sample. But note that each time a disintegration occurs the number N of remaining radioactive nuclei decreases. Activity of a radioactive sample is defined by dividing the change in number of radioactive nuclei, ∆N by time interval ∆t during which the change occurs. Average activity over the time interval ∆t is given as ∆N/∆t and this is proportional to the number of radioactive nuclei remaining in the sample.
Here λ is proportionality constant, referred to as decay constant of the radioactive sample. The negative sign here indicates that with time due to subsequent disintegrations, the number of radioactive atoms decreases subsequently.
The SI unit of activity is called Becquerel (Bq), where 1 becquerel of activity is equal to 1 disintegration per second. A bigger unit of activity of radioactive nuclei is curie (Ci) where
1 Ci = 3.7 x 1010 Bq
For an estimate of activity of commonly used radioactive radium:
The activity of radium used in watch dial to make it glow in dark is about 4 x104 Bq , that’s purely harmless to human exposure.
On the other hand, the activity used in radiation therapy for cancer treatment is approx. billion time greater, or 4 x 1013 Bq! Such an exposure for a fraction of seconds causes irreversible effect on living tissues.
For the graph in Fig 1, depicting the radioactive decay of a radioactive sample, the equation that governs the rate of fall in number of radioactive nuclei as a function of time is given as:
, assuming that at time t = 0, the number of radioactive nuclei were No
Applying the conditions that at t = T1/2, number of nuclei present, N=No/2, the above equation is reduced to
An important application of radioactivity is the determination of the age of archeological samples. If the fossil sample contains radioactive nuclei when it was formed, then the decay of the nuclei marks the passage of time as half of the radioactive sample decays after every some time equal to its half life.
If the half-life of the radioactive element present in the sample is known, a measurement of the present day number of radioactive nuclei relative to original number gives an estimate of the age of the fossil sample.
Since the activity of the sample is proportional to rate of disintegration, one way to know the age of the sample is to compare the present day activity with initial activity. Mass spectrometer is deployed to know the present day number of radioactive nuclei in a sample.
isotope of carbon is radioactive with half-life of 5730 years. In earth’s atmosphere, it is present in the ratio of 1 atom for every 8x1011 atoms of normal non-radioactive carbon . This ratio is maintained as for every loss due to radioactive decay of is offset by the creation of new atoms due to cosmic ray interaction with upper layers of atmosphere. The same ratio of and is maintained inside all living organisms as long as they are alive. But as soon as an organism dies, it no longer absorbs from the atmosphere, but the count of present inside its body begins decline due to radioactive decay.
So by applying the principles of radioactive decay rules to determine the present day number of numbers in the fossil remains, the age analysis of the organism can be done. This process of age analysis of fossil using radioactive is carbon dating.
Q1. Carbon-radioactive isotope sample has 1000 nuclei. If its half-life is 5730 years, how many nuclei remain after 17190 years?
Q2. During the disintegration of radioactive nuclei, the total energy, electric charge, linear momentum, angular momentum and nucleon number are necessarily conserved.
Q3. Out of three types of radiations, alpha, beta and gamma rays, emitted by the unstable radioactive nucleus, only the …………………… radiations fail to get deflected by the magnetic fields.
Q4. Radioactivity can be induced by applying strong electrical and magnetic fields on a heavy atomic nuclei.
Q5. During radioactive decay the number of nuclei in the sample decreases ………………………….. with time.
Context and Applications
The concept of Half Life has numerous practical applications some of them includes figuring out the effective drug dosage to finding out when a radioactive becomes safe to use. If you look for a career in Nuclear Physics you will need this concept.
This topic is significant in the professional exams for both undergraduate and graduate courses, especially for
- Bachelors in Science (Physics)
- Masters in Science (Physics)
Want more help with your physics homework?
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Half Life Homework Questions from Fellow Students
Browse our recently answered Half Life homework questions. | s3://commoncrawl/crawl-data/CC-MAIN-2023-23/segments/1685224652494.25/warc/CC-MAIN-20230606082037-20230606112037-00364.warc.gz | CC-MAIN-2023-23 | 9,215 | 45 |
https://simple.wikipedia.org/wiki/Potential_energy | math | Actual energy is exergy—condensed and/or hierarchized energy, which can act (i.e., can do work).
In the ultimate analysis, all potential energy is gravitational, while other potential energies, such as the strong-force potential energy and the electric potential energy, are temporary masks of the gravitational potential energy. Gravity condenses and hierarchizes anergy (potential energy) into exergy (actual energy).
Potential energy is the energy of locality (spatial separateness):
Gravitational energy, or potential energy, is purely an energy of position; that is, for any two specific masses, the mutual gravitational potential energy is determined solely by their spatial separation. But energy of position in space cannot be propagated in space; the concept of transmitting this energy from one spatial location to another is totally incompatible with the fact that the magnitude of the energy is determined by the spatial location. Propagation of gravitation is therefore inherently impossible. The gravitational action is necessarily instantaneous as Newton's law indicates, and as has always been assumed for purposes of calculation.
- —Larson, Dewey B. Beyond Newton: An Explanation of Gravitation. North Pacific Publishers, 1964
At that, potential energy is negative. It is not a mere convention but a consequence of conservation of energy in the zero-energy universe—as the universe's matter descends into its own gravitational potential field, the matter's actual energy becomes more positive, while its potential energy becomes more negative, so that the universe's matter loses its rest mass and becomes increasingly nonlocal, i.e. increasingly capable of teleportation.
Simple examples[change | change source]
Bringing a rock uphill increases (i.e., makes less negative) its gravitoelectric potential energy. Stretching a rubber band increases its elastic potential energy, which is a form of the electric potential energy. A mixture of a fuel and an oxidant has a chemical potential energy, which is another form of the electric potential energy. Batteries too have chemical potential energy.
Gravitational potential energy[change | change source]
Gravitational potential energy is experienced by an object when height and mass is a factor in the system. Gravitational potential energy causes objects to move towards each other. If an object is lifted a certain distance from the surface from the Earth, the force experienced is caused by weight and height. Work is defined as force over a distance, and work is another word for energy. This means Gl Potential Energy is equal to:
- is the force of gravity
- is the change in height
Total work done by Gravitational Potential Energy in a moving object from position 1 to position 2 can be found by:
- is the mass of the object
- is the acceleration caused by gravity (constant)
- is the first position
- is the second position
Electric potential energy[change | change source]
Electric potential energy is experienced by charges both different and alike, as they repel or attract each other. Charges can either be positive (+) or negative (-), where opposite charges attract and similar charges repel. If two charges were placed a certain distance away from each other, the potential energy stored between the charges can be calculated by:
- is 1/4πє (for air or vacuum it is )
- is the first charge
- is the second charge
- is the distance apart
Elastic potential energy[change | change source]
Elastic potential energy is experienced when a rubbery material is pulled away or pushed together. The amount of potential energy the material has depends on the distance pulled or pushed. The longer the distance pushed, the greater the elastic potential energy the material has. If a material is pulled or pushed, the potential energy can be calculated by:
- is the spring force constant (how well the material stretches or compresses)
- is the distance the material moved from its original position
Related pages[change | change source]
References[change | change source]
- Larson, Dewey B. Beyond Newton: An Explanation of Gravitation. North Pacific Publishers, 1964. "Energy is defined as the capability of doing work. Kinetic energy, for example, qualifies under this definition, and hence any kind of energy that can be converted to kinetic energy also qualifies. But gravitational energy is not capable of “doing work” as a general proposition. It will do one thing and one thing only: it will move masses inward toward each other. If this motion is permitted to take place, the resulting decrease in gravitational energy makes its appearance as kinetic energy and the latter can then be utilized in the normal manner, but unless gravitation is allowed to do this one thing which it is capable of doing, the gravitational energy is completely unavailable; it cannot do anything itself, nor can it be converted to any form of energy that can do something."
- Shu, Frank H. The Physical Universe: An Introduction to Astronomy. University Science Books, 1982, p. 157. "Concluding Philosophical Comment.
Zeldovich and Novikov have made the following intriguing philosophical point about the picture of the formation of a neutron star sketched here. They note that stars begin their lives as a mixture mostly of hydrogen nuclei and their stripped electrons. During a massive star's luminous phase, the protons are combined by a variety of complicated reactions into heavier and heavier elements. The nuclear binding energy released this way ultimately provides entertainment and employment for astronomers. In the end, however, the supernova process serves to undo most of this nuclear evolution. In the end, the core forms a mass of neutrons. Now, the final state, neutrons, contains less nuclear binding energy than the initial state, protons, and electrons. So where did all the energy come from when the star was shining all those millions of years? Where did the energy come from to produce the sound and the fury which is a supernova explosion? Energy is conserved; who paid the debts at the end? Answer: gravity! The gravitational potential energy of the final neutron star is much greater (negatively; that's the debt) than the gravitational potential energy of the corresponding main-sequence star (Problem 8.7). So, despite all the intervening interesting nuclear physics, ultimately Kelvin and Helmholtz were right after all! The ultimate energy source in the stars which produce the greatest amount of energy is gravity power. This is an important moral worth remembering and savoring. If we regard the neutron star as one gigantic atomic nucleus, we may also say that nuclear processes plus gravity have succeeded in converting many atomic nuclei into one nucleus. Problem 8.7 then shows that the ultimate energy source for the entire output of the star is the relativistic binding energy of the final end state."
- Why is the Potential Energy Negative? HyperPhysics
- Heighway, Jack. Einstein, the Aether and Variable Rest Mass. HeighwayPubs, 2011, p. 36. "Understanding why rest masses are reduced in a gravitational field only requires a simple insight: when an object is raised in a gravitational field, the gravitational potential energy increase is real, and exists as an increase, usually tiny, in the rest mass of the object."
- Battersby, Stephen. Big Bang glow hints at funnel-shaped Universe. New Scientist, 15 April 2004
- Gribbin, John. In Search of the Multiverse. Penguin UK, 2009, p. 131. "Any concentration of matter more compact than an infinitely dispersed cloud (even a cloud of gas containing one hydrogen molecule in every litre of space) must have less gravitational energy than an infinitely dispersed cloud, because, when material falls together energy is removed from the field. We start with zero energy and take some away, so we are left with negative energy. The negative energy of the gravitational field is what allows negative entropy, equivalent to information, to grow, making the Universe a more complicated and interesting place, with hot stars pouring out energy, on which planets like Earth can feed, as they attempt to redress the balance."
- ENIAC: The Birth of the Information Age. Popular Science, March 1996
- The ENIAC Effect: Dawn of the Information Age. ENIAC Museum
- Chardin, Pierre Teilhard de. Man's Place in Nature. Collins, 1973, p. 100
- Chardin, Pierre Teilhard de. The Phenomenon of Man. 1955, p. 306
- Chardin, Pierre Teilhard de. The Phenomenon of Man. 1955, p. 172 | s3://commoncrawl/crawl-data/CC-MAIN-2018-05/segments/1516084890823.81/warc/CC-MAIN-20180121175418-20180121195418-00538.warc.gz | CC-MAIN-2018-05 | 8,516 | 41 |
http://maanumberaday.blogspot.com/2009/01/631.html | math | 631 is a prime number.
631 is the maximum number of regions into which 35 lines divide a plane.
631 values of n less than or equal to 1000 produce primes for 2n2 + 144251.
631 has a base 2 representation (1001110111) that begins with its base 5 representation
Researchers "estimate that there are 631 Asian elephants living in Taman Negara National Park--a 4,343 square kilometer (1,676 square mile) protected area in the center of Peninsular Malaysia . . . . The team counted elephant dung piles to estimate population size—a scientifically proven technique that produces accurate figures."--Wildlife Conservation Society press release, Jan. 14, 2009.
Source: Prime Curios! | s3://commoncrawl/crawl-data/CC-MAIN-2018-22/segments/1526794864466.23/warc/CC-MAIN-20180521181133-20180521201133-00597.warc.gz | CC-MAIN-2018-22 | 676 | 6 |
http://homeschoolingisfun.com/links/math-links/ | math | Homeschool Math Get math worksheets, organized by grade level, for different topics.
IXL Math This site allows for math practice for various topics at different grade levels. You can pay for unlimited access, but you can do a limited number of problems for free each day.
The Math Worksheet Site Make various math worksheets for different topics, including the basic functions, time, measurement, and fractions.
Online Education: Math Logic and Math Problems Various links to fun math resources. | s3://commoncrawl/crawl-data/CC-MAIN-2017-17/segments/1492917122159.33/warc/CC-MAIN-20170423031202-00056-ip-10-145-167-34.ec2.internal.warc.gz | CC-MAIN-2017-17 | 495 | 4 |
https://menshumor.com/viral/31-people-having-more-fun-with-statues/ | math | We have previously put together a list of 32 people having fun with statues. That was such a barrel of monkeys we knew the only thing that could top that was a second barrel. So we are packing up the car again! Dad has the wheel and a mission. We are stopping at every statue we find and we are making picture jokes.
Quit arguing. Stop your damn griping. Just sit there and think of all the hilarious poses you’re gonna strike.
#1 When You’ve McFckin Had It!
2. Smell my finger, bro. Know what that is?
#3 Comics introducing a new street villain
#4. When you’ve been playing forever
#5 When fun with statues takes a dark turn
#6 Quick… when they’re distracted!
#7. Shouldn’t have shared his food in the first place
#8 Sharing a beer with a bro
#9 Statues are great designated drivers
#10 “Little help here, guys!”
#11 Remember your safe word
#12 “Lady, I’m not from here”
#13 “Yeah it’s called tik tok”
#14 Guess who Ef’d up Valentine’s Day again
#16 That look of terror
#17 Fun with statues
#18 THE SAFE WORD!
#19 OK Chris Pratt
#20 This was built for this picture
#21 Quick sip
#22 Gang Banged
#23 Carried off into a new life of adventure and crippling debt
#24 Statues having fun with you
#25 “Don’t Look At My Boob!”
#27 Damn Again
#29 Double Revenge
#30 The street violence is getting out of hand
#31 Calling a truce
If you liked these pictures of people having fun with statues, you’ll probably like to see 50 Naughty Statues Caught In The Act! | s3://commoncrawl/crawl-data/CC-MAIN-2022-40/segments/1664030335350.36/warc/CC-MAIN-20220929100506-20220929130506-00303.warc.gz | CC-MAIN-2022-40 | 1,490 | 31 |
https://bigsurspiritgarden.com/2022/11/20/what-are-the-3-units-for-work/ | math | What are the 3 units for work?
Three quantities must be known in order to calculate the amount of work. Those three quantities are force, displacement and the angle between the force and the displacement.
What are the two units of work?
The unit you should use for work done and energy is the joule (J) which is indeed the same as the newton metre (N m). There is another physical quantity which is the product of force and distance and that is torque or moment of a force. The unit you should use for torque is the newton metre (Nm) and not the joule.
Which is unit of work and energy?
The standard unit used to measure energy and work done in physics is the joule, which has the symbol J. In mechanics, 1 joule is the energy transferred when a force of 1 Newton is applied to an object and moves it through a distance of 1 meter.
Which is not a unit of work?
Volt is not a unit of work.
Is joule unit of work?
joule, unit of work or energy in the International System of Units (SI); it is equal to the work done by a force of one newton acting through one metre. Named in honour of the English physicist James Prescott Joule, it equals 107 ergs, or approximately 0.7377 foot-pounds.
Which is SI unit of work done?
1 joule of work is said to be done when a force of 1 newton displaces a body through a distance of 1 meter in its own direction.
Is Joule a unit of work?
The SI unit for work and energy commonly used in drawing is the joule (J), which is equivalent to a force of one newton exerted through a distance of one meter (m).
Which of the following is a unit for work?
The SI unit of work is joule (J)….SI Unit of Work.
Is the unit of work in SI unit?
The SI unit of work is joule (J). Joule is defined as the work done by a force of one newton causing a displacement of one meter.
Is the SI unit of work?
Solution: S.I. unit of work is Joule. Work done when a force of 1 Newton displaces the body through a distance of 1 metre in the direction of force.
What is SI unit of work class 9?
The SI unit of work is the joule (J). It is defined as the work done by a force of one newton through a distance of one metre.
Is Watt a unit of work?
watt, unit of power in the International System of Units (SI) equal to one joule of work performed per second, or to 1/746 horsepower.
Is kilowatt a unit of work?
The standard unit of power is Watt. From the above expression, it can be evaluated that the kilowatt-hour is a unit of work. Thus, option b. work.
Which is not unit of work?
What is a unit of work Brainly?
The unit of work is the joule.
What is the unit of work Mcq?
units is. D. joule.
What is work unit short answer?
unit of work is Joule. Work done when a force of 1 Newton displaces the body through a distance of 1 metre in the direction of force.
Is joule a unit of work?
Is Newton meter a unit of work?
Joule is defined as the work done by a force of one newton causing a displacement of one meter. Sometimes, newton-metre (N-m) is also used for measuring work….Converting The Units Of Work.
|Units||Equivalent Unit in Joules|
|1 erg||1.0E-7 J|
|1 horsepower-hour||2684519.54 J|
|1 newton-metre||1 J|
|1 foot-pound||1.35582 J|
What units are used to measure work?
SI system is based on the precise and definite standards.
What are two different units what represent work?
candela per square meter. cd/m 2. mass fraction. kilogram per kilogram, which may be represented by the number 1. kg/kg = 1. For ease of understanding and convenience, 22 SI derived units have been given special names and symbols, as shown in Table 3. Table 3. SI derived units with special names and symbols.
What units are used to measure work and power?
Power Units • Horsepower- used to measure rate of mechanical work −1 hp = 2545 Btu/hr = 0.746 kW • kW- SI power unit used for both work and heat transfer. Sometimes see “kW th ” for thermal kW. −1 kW = 3412 Btu/hr = 1.34 hp = 0.2843 Tons • Ton- American unit of cooling rate commonly employed to measure air conditioning capacity th
What is the unit in which work is measured?
What is the relationship of work energy and power? | s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233510085.26/warc/CC-MAIN-20230925183615-20230925213615-00117.warc.gz | CC-MAIN-2023-40 | 4,092 | 49 |
https://forum.xda-developers.com/android/general/gigaset-pure-pro-root-unlock-t3477753 | math | Since 01.16 update Gigaset Me and Me pro use same ROM. So read carefully and take responsibility what you are doing on you device.
Gigaset Pure is not supported here.
GPL Source codes:
Me/MePro/ platform tools full : http://www.gigaset.com/de_de/cms/lp/open-source.html
Me/MePro platform tools uploaded in 1 file (gdrive): https://drive.google.com/uc?id=0B_81...xport=download
Me/MePro kernel source (my repo on github): https://github.com/Eddie07/GIgaset_M...o_3.10._kernel
Terms of Usage:
1. Everything posted on this post should be reposted with links to original post.
2. I'm not responsible for any damage to your phone.
3. If you are aware of bricking device by this or you don't understand some of processes described below - close this thread and leave it alone.
4. If you agree with p.1,2,3 go on to Step2.
GIGASET secret codes:
*#*#2580#*#* -engineer mode (wif, bt tests, usb ports, adb root (pass:gigaset001), ota settings.
*#*#708#*#* - float system info (cpu speeds, m|b temp), shake test.
*#*#801#*#* - wifi test.
*#*#802#*#* - bt test.
*#*#803#*#* - bt test 2.
*#*#2588#*#* - factory hardware tests.
*#*#2581#*#* - Camera callibration??.
(Only ME/MEPRO)TWRP CUSTOM RECOVERY, UNBRICKING:
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ADB ROOT FOR STOCK ROM WITHOUT ROOT AND CUSTOM RECOVERY:
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3) Type "gigaset001" in pw field.
Get adb root
to check if is done enable USB debugging and try adb command from PC:
"abd shell" if command prompt ends with "#" then adb is rooted, if "$"-isn't!
4) Turn off adb root- type password again. | s3://commoncrawl/crawl-data/CC-MAIN-2019-30/segments/1563195527474.85/warc/CC-MAIN-20190722030952-20190722052952-00263.warc.gz | CC-MAIN-2019-30 | 2,268 | 39 |
https://school.gradeup.co/ex-8.4-q1-prove-that-the-sum-of-the-squares-of-the-sides-of-i-1nkhhp | math | Q. 14.9( 19 Votes )
Need to prove that the sum of the squares of the sides of a rhombus is equal to the sum of the squares of its diagonals
ABCD is a rhombus in which diagonals AC and BD intersect at point O.
We need to prove AB2 + BC2 + CD2 + DA2 = AC2 + DB2
⇒ In Δ AOB; AB2 = AO2 + BO2
⇒ In Δ BOC; BC2 = CO2 + BO2
⇒ In Δ COD; CD2 = DO2 + CO2
⇒ In Δ AOD; AD2 = DO2 + AO2
⇒ Adding the above 4 equations we get
⇒ AB2 + BC2 + CD2 + DA2 = AO2 + BO2 + CO2 + BO2 + DO2 + CO2 + DO2 + AO2
⇒ = 2(AO2 + BO2 + CO2 + DO2)
Since, AO2 = CO2 and BO2 = DO2
= 2(2 AO2 + 2 BO2)
= 4(AO2 + BO2) ……eq(1)
Now, let us take the sum of squares of diagonals
⇒ AC2 + DB2 = (AO + CO)2 + (DO+ BO)2
= (2AO)2 + (2DO)2
= 4 AO2 + 4 BO2 ……eq(2)
From eq(1) and eq(2) we get
⇒ AB2 + BC2 + CD2 + DA2 = AC2 + DB2
Rate this question :
ABC is a right triangle right angled at B. Let D and E be any points on AB and BC respectively.
Prove that AE2 + CD2 = AC2 + DE2 .
‘O’ is any point in the interior of a triangle ABC.
OD ⊥ BC, OE ⊥ AC and OF ⊥ AB, show that
i. OA2 + OB2 + OC2 – OD2 – OE2 – OF2 = AF2 + BD2 + CE2
ii. AF2 + BD2 + CE2 = AE2 + CD2 + BF2.
Prove that three times the square of any side of an equilateral triangle is equal to four times the square of the altitude.AP- Mathematics | s3://commoncrawl/crawl-data/CC-MAIN-2019-51/segments/1575540525598.55/warc/CC-MAIN-20191209225803-20191210013803-00000.warc.gz | CC-MAIN-2019-51 | 1,298 | 28 |
http://gorchilin.com/articles/expanse/about?lang=en | math | An isolated space. Introduction
Hello, dear readers! This topic was started by me over 20 years ago. Some work was received in different periods of time that I have tried to collect in a single system under the title — "single space". The name chosen by chance, because the module or length of the global vector of velocity, which it describes, will always be equal to one. By the way, there immediately follows a global law of conservation of energy.
On the basis of the world and the Copenhagen interpretation of quantum mechanics [1-2], here we will differentiate two types of spaces: the real and the real. Real as the familiar space with three dimensions, velocities, accelerations and masses, which is one of the possible manifestations of actual space. Valid — differs in that it can contain more scenarios and is multidimensional. In it there are all the amazing effects we can observe in our real-space reflections or projections. To move from actual space in real you can use one of the properties of the global vector convolution.
The concept of a global velocity vector lies in the constancy of its length (modulus) which is always equal to the speed of light. From here immediately follows that the massless energy of the geometric points are always the same and equal to the square of the speed of light. This is consistent with our reality and automatically sets a global law of conservation of energy for the whole present further hypotheses. Based on this concept, also, is the convolution of the global vector for our 4-dimensional space-time (example).
The advantage of hypothesis of a unit space is the absence of imaginary coordinates or angles that are required in classical relativistic theory. However, this does not prevent to obtain the same results while using only simple and clear steps of vector algebra, and often, even to dispense with the use of differentiation and integration (example).
Despite the fact that the ideas were received in random order I have arranged them sequentially as possible :). In this order I would recommend you to study this subject: the substance of the section. | s3://commoncrawl/crawl-data/CC-MAIN-2020-10/segments/1581875148671.99/warc/CC-MAIN-20200229053151-20200229083151-00247.warc.gz | CC-MAIN-2020-10 | 2,126 | 6 |
https://www.mytutor.lk/more_details_tutor.php?tid=mpejlw== | math | Mathematics Classes(From Grade 6-11)
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I am a fresh graduate from University of Colombo,Faculty of Science,Department of Mathematics.I have 4 years experiences on teaching Mathematics for O/L students.I will teaching Mathematics in very friendly manner and specially focusing on weak students.At the end of each month exam will be held and papers will be discussing on class.Past parpers will be discussing before the school term tests.According to the performances, special helps will be given to the students who need.
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https://hiqukycona.tk/anime/linear-and-integer-programming-vs-linear-integration-and-counting-a.php | math | Introduction to Linear Programming by Leonid N. Best Advanced linear programming : computation and practice by Bruce A. Reemtsen next. Wording Edition.
- Managing Dementia in a Multicultural Society;
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- Empirical Studies of Environmental Policies in Europe (ZEI Studies in European Economics and Law)!
- Product details.
In Conversation with The prize is awarded annually to scholars who have made fundamental, sustained contributions to theory in operations research and the management sciences. Since , five papers by Lasserre have appeared in Mathematics of OR , and in , Lasserre was appointed as an associate editor for the journal.
Works under MDS 519.72
INFORMS reached out to Jean Lasserre in Fall to learn more about his recent awards, his predictions for the future of operations research OR , and his advice for students entering this important field. What follows is the first in a series of interviews that will showcase the thought-leaders in the field of operations research. How has winning this award impacted your professional life?
Indeed the list of its important applications is almost endless. How has it impacted the field of optimization? Parrilo [ 11 ] used sums of squares decompositions for testing copositivity of a matrix and for some control applications. This hierarchy has finite convergence generically and provides the first optimality conditions for polynomial optimization with nonconvex analogue properties of the celebrated Karush—Kuhn—Tucker KTT [ 4,6 ] conditions in convex optimization.
Concerning real-world scenarios, the impact is more nuanced. The Lasserre Hierarchy has played a critical role in helping solve nonconvex problems of relatively modest size e. Optimum Power Flow problems might be the first real-world large-scale scenario where this methodology can outperform other approaches. In this respect, an important theoretical challenge is to understand the power and limitation of convex relaxations, especially for hard combinatorial optimization problems. This challenge is now central in the theoretical computer science TCS community and has already made its way into computer science courses at some prestigious universities.
Interestingly, in addition to optimization, Fourier analysis and techniques from quantum computing may also be appropriate and are explained and discussed in such courses. OR departments should introduce similar courses; for instance, powerful positivity certificates from real algebraic geometry and their dual facet on the K-moment problem should be taught in graduate courses. Because even if their proof is nontrivial and requires sophisticated mathematics, these positivity certificates are i easily understood, ii simple to implement, and iii can be used in many applications across different area.
This does not happen frequently! Another challenging problem is the pure integer programming problem IP. Indeed, simple examples of knapsack problems one constraint and variables! Surprisingly, all basic ingredients of the simplex algorithm basis, dual vector, reduced cost are also hidden in a beautiful formula e. In my book [ 10 ] , I have tried to popularize this point of view on LP, IP, integration, and counting, but with no success at all! Students should not be afraid of learning basic ideas of real and functional analysis, integration and measure theory, algebraic geometry, lattice points, and tools like Laplace and Fenchel transforms, Cauchy residues, and so forth.
Shop Linear And Integer Programming Vs Linear Integration And Counting A Duality Viewpoint 2009
Of course, large-scale problems are still a challenge, even though we can solve problems of much larger size than in the s. It would be interesting to evaluate the respective roles that algorithms and computer power played in this achievement in the past 50 years. Some important applications e. This, in turn, has boosted research and renewed interest in large-scale, first-order methods for structured convex problems. Other inverse problems also appear in optimal control and robotics e.
Solving large-scale, semidefinite programs is another challenge. The early expectations of the s—that powerful interior-point methods would solve such problems—have not materialized. In contrast to LP solvers, which can solve huge size problems, and despite some progress, the size limitation of problems that can be solved by the current semidefinite programming SDP solvers is much more severe than for LP solvers. This is a pity because, for example, the powerful family of semidefinite convex relaxations for solving polynomial optimization problems is then limited to problems of modest size unless sparsity can be considered.
- Beautiful Country: A Novel.
- The Conquest (Saucer, Book 2)!
- Elementary linear programming with applications /.
- Mathematics of Operations Research :.
- The Whitechapel Horrors (The Further Adventures of Sherlock Holmes)?
Each convex relaxation in the hierarchy is a semidefinite program that, in principle, can be solved efficiently in time polynomial in its input size. However, as its size increases in the hierarchy, the convex relaxation becomes increasingly more difficult to solve.
Jean-Bernard Lasserre - książki - hiqukycona.tk
Fortunately, finite convergence eventually takes place generically. It is important to have fun and enjoy … and it helps spur creativity! It also recognizes my more recent work on linking LP, IP, linear integration, and counting problems. The Laplace and Z-transform are seen as analogues of the Legendre-Fenchel transform in the max-plus algebra.
One of its main goals is to develop or provide alternatives to the moment-SOS hierarchy, so as to help solve difficult nonconvex problems in important applications e. Such problems are viewed as examples of the Generalized Problem of Moments, and the list of important applications is endless! But, this is an opportunity to emphasize how grateful I am to CNRS for providing me with a unique research environment with almost total freedom. In academic research, the freedom to pursue your intellectual interests is the most important feature that an employer can provide.
For comments or more information about this series, please contact the Managing Editor, Stephanie Dean. Available Issues February - August Volume 44 Issue 3 August Volume 44 Issue 2 May Volume 44 Issue 1 February Volume 43 Issue 4 November Volume 43 Issue 3 August Volume 43 Issue 2 May Volume 43 Issue 1 February Volume 42 Issue 4 November Volume 42 Issue 3 August Volume 42 Issue 2 May Volume 42 Issue 1 February Volume 41 Issue 4 November Volume 41 Issue 3 August Volume 41 Issue 2 May Volume 41 Issue 1 February Volume 40 Issue 4 November Volume 40 Issue 3 August Volume 40 Issue 2 May Volume 40 Issue 1 February Volume 39 Issue 4 November Volume 39 Issue 3 August Volume 39 Issue 2 May Volume 39 Issue 1 February Volume 38 Issue 4 November Volume 38 Issue 3 August Volume 38 Issue 2 May Volume 38 Issue 1 February Volume 37 Issue 4 November Volume 37 Issue 3 August Volume 37 Issue 2 May Volume 37 Issue 1 February Volume 36 Issue 4 November Volume 36 Issue 3 August Volume 36 Issue 2 May Volume 36 Issue 1 February Volume 35 Issue 4 November Volume 35 Issue 3 August Volume 35 Issue 2 May Volume 35 Issue 1 February Volume 34 Issue 4 November Volume 34 Issue 3 August Volume 34 Issue 2 May Volume 34 Issue 1 February Volume 33 Issue 4 November Volume 33 Issue 3 August Volume 33 Issue 2 May Volume 33 Issue 1 February Volume 32 Issue 4 November Volume 32 Issue 3 August Volume 32 Issue 2 May Volume 32 Issue 1 February Volume 31 Issue 4 November Volume 31 Issue 3 August Volume 31 Issue 2 May Volume 31 Issue 1 February Volume 30 Issue 4 November Volume 30 Issue 3 August Volume 30 Issue 2 May Volume 30 Issue 1 February Volume 29 Issue 4 November Volume 29 Issue 3 August Volume 29 Issue 2 May Volume 29 Issue 1 February Volume 28 Issue 4 November Volume 28 Issue 3 August Volume 28 Issue 2 May | s3://commoncrawl/crawl-data/CC-MAIN-2020-05/segments/1579251700675.78/warc/CC-MAIN-20200127112805-20200127142805-00482.warc.gz | CC-MAIN-2020-05 | 8,123 | 27 |
https://ananoticias.com/2019/05/18/translated-from-spanish-what-are-imaginary-numbers-and-why-without-them-you-couldnt-read-this/ | math | These were mathematical challenges, in which two or more experts struggled to find the solution to a problem . The duel was carried out in public squares and was followed by thousands of inhabitants.
It was at this time that some Italian mathematicians began to realize that some equations were impossible to solve.
In particular, those whose resolution required calculating the square root of negative numbers.
As you may remember from school, negative numbers do not have square roots: there is no number which, when multiplied by itself, gives a negative number.
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Marcus du Sautoy: «The formula for Infinity is simple: + 1»
This is because negative numbers, when multiplied, always produce a positive result. For example:-2 ×-2 = 4 (no-4).
But the mathematicians Niccolo Fontana (aka Tartaglia) and Gerolamo Cardano realized that if they allowed the existence of negative square roots, they could solve true equations-or with «real numbers», as it is known to the numbers that have a Decimal expression-.
That’s how they created a new unit, imagining the square root of-1 (or √-1 in mathematical terms).
Gerolamo Cardano was the first to disseminate the idea of the imaginary unit, which had thought Niccolo Fontana (aka Tartaglia) in 1573 another Renaissance mathematician, Rafael Bombelli, explained how arithmetic worked with this new concept, in a work called » Algebra. »
There he pointed out that the new unit was not positive or negative and therefore did not obey the usual rules of arithmetic.
For nearly a century many thinkers rejected this new idea, calling this invented unit «fictitious, impossible, or meaningless.»
One of the detractors was the French philosopher René Descartes, who in his work «La Géométrie» (1637) would baptize the invention with the derogatory term of «imaginary numbers».
It would take many more decades for mathematicians to start accepting these imaginary numbers, which defied logic, as something valid and genuine.
In 1707, another Frenchman, Abraham de Moivre, related the imaginary numbers with geometry, thus achieving using this discipline to solve complex algebraic problems.
Seventy years later, imaginary numbers would finally have its own symbol: I (thanks to the Swiss mathematician Leonhard Euler).
The Enigma solved 300 years ago that today allows us to access the Internet
And its use would allow to extend the system of real numbers (R) to the system of complex numbers (C), where real numbers are combined with imaginary numbers.
It may sound like a lot of meaningless numbers and formulas, but in reality they have many uses prácticosQuizás all this sounds like something completely abstract and without real utility, that could only interest to intellectuals who live in the world of ideas, but That’s far from reality.
In the TWENTIETH century, imaginary numbers began to have many practical uses, allowing engineers and physicists, among others, to solve problems that otherwise would not have had a solution.
Today these imaginary and complex numbers are behind some of the most essential technologies we use.
They were especially valuable when electricity was invented, as they are very useful for analyzing anything that is expressed in waves (such as electric waves).
Electrical engineering uses complex numbers, in which «I» is used to indicate the amplitude and phase of an electric oscillation.
The imaginary and complex numbers are especially useful for analyzing waves: from electricity and sound to mechanics cuánticaSin these numbers, telecommunications could not have been developed. There would be no radio, television and internet and today you would not be reading this note on your computer, tablet or cell.
Imaginary numbers also allowed all kinds of technological and scientific developments, from radar and GPS to magnetic resonance imaging and neuroscience.
Quantum physics reduces all particles to waveforms, which means that complex numbers are fundamental to understanding that strange world.
Not only could they be key to the future, but some believe that they could eventually serve to answer one of the great unknowns that remain perplexing to scientists: what happened before the Big Bang and when did the time really start?
The classic general Theory of relativity by Albert Einstein linked time with the three spatial dimensions with which we are all familiar (up-down, left-right and inside-out), creating a «space-time» dimensional in the That time can only move forward.
A brilliant theory, but when applied to the creation of the universe arise problems.
But if you invoke quantum theory and add some imaginary time and everything begins to make sense… At least for the cosmologists.
Imaginary time is measured in imaginary numbers and, unlike real time, it can move forward and backward as an additional spatial dimension.
And that gives the Big Bang a moment to start. | s3://commoncrawl/crawl-data/CC-MAIN-2021-31/segments/1627046154304.34/warc/CC-MAIN-20210802043814-20210802073814-00456.warc.gz | CC-MAIN-2021-31 | 4,956 | 32 |
https://www.physicsoverflow.org/21871/k-theoretic-version-of-artin-mazur-formal-groups | math | An Artin-Mazur formal group is, when it exists, the deformation theory of ordinary cohomology of some degree, on some algebraic variety. My question here is:
Has the generalization of the theory of Artin-Mazur formal groups been considered when ordinary cohomology is replaced by some generalized cohomology theory, notably by some flavor of K-theory?
(I am thinking of the hopefully obvious definition: form the kernel of the restriction map from the K-theory group (of the chosen flavor) of any formal thickening of the given variety to that of the underlying variety and ask if the presheaf given as the thickenings vary is pro-representable by a formal group).
This question is motivated by the analogy suggested by the following pattern:
For $X$ a 1-dimensional Calabi-Yau variety -- an elliptic curve -- the 1-dimensional Artin-Mazur formal group $\Phi^1_X$ induces elliptic cohomology, and its equivariant version essentially encodes the (modular functor of the) 2d CFT boundary theory of 3d Chern-Simons theory.
For $X$ a 3-dimesional Calabi-Yau variety the 1-dimensional Artin-Mazur formal group $\Phi^3_X$ is the deformation theory of the intermediate Jacobian curve and this is the phase space of $U(1)$-7d Chern-Simons theory (which in view of the previous case makes one wonder about the relation of the complex oriented cohomology theory, if any, associated with $\Phi^3_X$ and how it relates to the 6d SCFT, that was the thrust of a related recent question of mine here, titled Calabi-Yau cohomology?);
But now for $X$ a 5-dimensional variety one might be tempted to ask the previous question again, just with the degrees increased -- but in fact the string theory story here suggests that the 11-dimensional Chern-Simons theory in question is not defined on cocycles in ordinary (differential) cohomology, but on cocycles in (differential) K-theory.
The "K-theoretic Jacobian" involved here was considered in this context in (Diaconescu-Moore-Witten 00) and explicitly considered as the phase space of an 11d Chern-Simons-type theory given by fiber integration over the cup square of differential K-cycles in (Belov-Moore 06).
The general mechanism of quantization of self-dual higher gauge theory which is at play in all these dimensions was originally observed/found/discussed in (Witten 96) for ordinary (differential) cohomology and for this case it was then turned into theorems in (Hopkins-Singer 02). One may ask generally what happens here when cup products in ordinary differential cohomology are replaced by cup products in differential K-theory. But here I am wondering just about one specific aspect of this: do we get Artin-Mazur type formal groups from deformation of K-theory classes on suitable varieties? Does there exist any work on this?
This post imported from StackExchange MathOverflow at 2014-08-10 09:07 (UCT), posted by SE-user Urs Schreiber | s3://commoncrawl/crawl-data/CC-MAIN-2023-23/segments/1685224644683.18/warc/CC-MAIN-20230529042138-20230529072138-00007.warc.gz | CC-MAIN-2023-23 | 2,882 | 10 |
https://medium.com/@wyess/original-research-the-anchoring-effect-in-a-range-of-plausible-anchors-93f7096dcd7b?source=---------6------------------ | math | Original Research: The Anchoring Effect in A Range of Plausible Anchors
In this series on Original Research, I will be sharing about my findings from some of the mini-projects that I have carried out on my own.
The anchoring effect is a systematic cognitive bias committed by individuals, when they rely too heavily on an initial piece of information for making a subsequent judgment. This is especially pronounced when the individual does not have much knowledge in the subject matter that he/she is assessing, and end up getting influenced by any information that comes before the judgment.
One of the most popular examples is by Strack & Mussweiler (1997), who conducted a study asking participants to guess the age of Mahatma Gandhi when he died. But before asking for their estimates, the researchers exposed one group to a low anchor (“Did Mahatma Gandhi died before or after the age of 9 years old?”), and exposed another group to a high anchor (“Did Mahatma Gandhi died before or after the age of 140 years old?”). While it was impossible for both anchors to be the correct answer, they nonetheless had an effect on the participants, as the mean estimate from the low anchor group was 50, while the mean estimate from the high anchor group was 67.
In trying to understand the effects of implausible anchors, Mussweiler & Strack (2001) repeated the study with plausible anchors as well, using 61 years old as the low anchor and 86 years old as as the high anchor. As it turned out, the plausible anchors still had an effect on the participants, with the low anchor group having a mean estimate of 63 and the high anchor group having a mean estimate of 70. However, the deviations from the plausible anchors were a lot less.
The research by Mussweiler & Strack got me wondering, is it possible to find an anchor that would result in a mean estimate with minimal deviation? What exactly happens within the range of plausible anchors? This was something nobody had explored and I was curious to find out.
Extrapolating how the deviations reduced from the implausible to plausible anchors, it would seem natural to assume that the deviation of mean estimates from their respective anchors should continue to reduce until the high and low anchors converge at a point in the plausible range where there is little or no deviation.
However, since all the anchors in this range are considered plausible, it is also not unlikely that the amount of deviation from each anchor would not differ much.
To find out which scenario occurs in real life, I designed a series of questions and administered them to participants through an online questionnaire. Participants received 5 Singapore dollars for completing the questionnaire.
To replicate the type of question like the Mahatma Gandhi one, participants will need to have an idea of the question’s context, but not know the correct answer. I conducted a pretest with 20 different questions, allowing participants to freely make estimates without any anchors. The top 10 questions with the smallest variance in estimates were chosen for the main study.
The anchors used for these 10 questions were determined by the means and standard deviations of the participants’ estimates in the pretest, which was what Mussweiler & Strack had done in their studies. A total of 5 anchors were used for each question, which included the pretest mean, +1.0SD, -1.0SD, +0.5SD and -0.5SD.
In the Mussweiler & Strack studies, a question of whether Mahatma Gandhi died before or after the anchor precedes the estimate. As I was experimenting with anchors in the plausible range, I had to consider the anchor as a possible estimate. Hence, besides the usual “more than” or “less than” options, I allowed participants to choose a third option which was “roughly equal to” the anchor that they were shown. Participants of course did not know that the numbers they saw were anchors, and they also did not know other participants were shown other numbers.
After making their estimates for each question, I also asked the participants whether they knew the right answer to the questions, and how likely they believed that the anchor they were shown was the right answer. The responses to these sub-questions were then used to draw further insights later on.
541 participants were recruited in total, through mass sharing of the questionnaire link as well as snowball sampling. The gender ratio was roughly equal, but the age group of the participants was skewed towards 21 to 30 years old. Most of the participants were Singaporeans, who had a degree and were working adults.
Finding 1: Mean estimates from all anchors groups were tending towards the Pretest Mean.
To compare all 10 questions together, the units had to be standardised, and to peg the group means to their respective anchors, the following formula was used:
(Anchor Group Mean — Pretest Mean) ÷ Pretest SD
This resulted in the following chart, where ‘0’ on the y-axis represents the pretest mean, while ‘1’ and ‘-1’ represent the pretest SD. Groups 1 to 5 on the x-axis represent each anchor from -1.0SD to +1.0SD, with the pretest mean in the middle at Group 3.
It is immediately noticeable from the chart that the mean estimates for all 10 questions were following a similar pattern, with the exception of Question 1 (Dinner) and Questions 9 (Banana Tree). Mean estimates from groups with +1.0SD and -1.0SD as their anchors deviated the most, while the group with the pretest mean anchor seemed to have deviated the least. To make it easier to see, I aggregated the means of the 10 questions into a single data point for each anchor group.
From the chart of the aggregated means, it becomes apparent that the results seem to be reflecting the scenario of Hypothesis 1, where there is almost no deviation of the mean estimate at the mid-point of the plausible range. On the other hand, mean estimates from the other anchor groups seem to be tending towards the pretest mean.
This finding is rather interesting, as the pretest mean is by no means the correct answer, nor would the participants of the main study know what the mean of the pretest was. This seems to suggest that the mean from anchor-free estimates make neutral anchors, where overestimates and underestimates resulting from that anchor cancel out each other and allow the mean to converge back at the original anchor.
However, looking at mean estimates does not give the full picture of how estimates deviate from anchors. Hence, I also looked at how individual estimates deviated.
Finding 2: The larger the anchor value, the greater the anchor deviations.
To find out how much individuals deviate from their given anchors, I calculated the absolute difference between an individual’s estimate and its respective anchor value, using the following formula:
| individual estimate — anchor value |
For example, if the estimates of 5 participants exposed to the anchor 80 were 78, 79, 81, 81 and 83, the calculation of the mean anchor deviation would be (|78–80| + |79–80| + |81–90| + |81–80| + |83–80|) ÷ 5, which gives an answer of 1.6. This differs with the deviation of the mean estimate in that the deviation is calculated before computing the mean.
Once again, to compare all 10 questions together, the units had to be standardised, using the following formula:
Anchor Group Mean ÷ Sample Mean
This resulted in the following chart, where ‘1’ on the y-axis represents the mean anchor deviation of the entire sample.
Amazingly, the mean anchor deviations for all 10 questions were following almost the same pattern, where the anchors with smaller values (Groups 1 and 2) had lesser deviations, while the anchors with larger values (Groups 4 and 5) had greater deviations. We can also see that in comparison to the sample mean (‘1’ on the y-axis), Groups 1 and 2 were generally below the mean while Groups 4 and 5 were mostly above the mean. To make it easier to see, I aggregated the means of the 10 questions into a single data point for each anchor group.
From the chart of the aggregated means, it appears that the deviations were increasing at an exponential rate, where larger anchors disproportionately resulted in greater anchor deviations. This seems to resonate with the findings of Wong & Kwong (2000), who found that anchors with a larger absolute value (e.g. 7300 m) induced a greater numerical estimate than anchors with a smaller absolute value (e.g. 7.3 km), despite them being the same semantically. It is possible that participants were primed to adjust more widely when exposed to larger anchors, resulting in the greater deviations.
Besides comparing deviations to the anchors that participants were exposed to, I also examined how trust in the anchor affected the deviations.
Finding 3: The more likely participants think an anchor is the answer, the smaller the anchor deviations.
If you recall me asking the participants how likely they believed that the anchor they were shown was the right answer, this is where the responses for that sub-question comes in. While it seems commonsensical that participants who believed that their anchor was the right answer would deviate less from it, no one has explicitly shown this before. Hence, I decided to compare the anchor deviations based on how likely they believed that their anchor was the right answer.
Like what I did in Finding 2, to compare all 10 questions together, the units had to be standardised, using the following formula:
Likelihood Group Mean ÷ Sample Mean
This resulted in the following chart, where ‘1’ on the y-axis represents the mean anchor deviation of the entire sample. Groups 1 to 7 on the x-axis represent the Likelihood Group from ‘Very Unlikely’ to ‘Very Likely’.
Like the charts in Findings 1 and 2, what we see in Finding 3 is again the same pattern occurring for all 10 questions, regardless of what the question was. Participants who found their anchors very unlikely to be the right answer had the greatest amount of deviation, while those who thought their anchors were the right answer had the least deviation. To make it easier to see, I aggregated the means of the 10 questions into a single data point for each likelihood group.
From the chart of aggregated means, an S-curve is observed where the differences towards the extremes seem to be diminishing. This probably suggests that the polarisation between participants who think their anchor is unlikely vs those who think their anchor is likely is quite distinct. A Pearson’s correlation test between Anchor Deviation and Likelihood was conducted, and negative correlations were significant for all 10 questions at p < .001.
The findings from this mini-project provided some new insights that have not been discussed before in past anchoring research. In summary, anchoring within the plausible range is actually not homogeneous. There is still a tendency for the mean estimates to move towards a central point, which seems to be the pretest mean in this case. This seems to suggest that despite not knowing the correct answer, there is a point where overestimations and underestimations are roughly equal, causing the mean estimate to converge with the anchor. In understanding how individuals deviate from anchors, the value of the anchor actually seem to play a part through a priming effect, resonating with the findings of Wong & Kwong (2000). Finally, while it is not a huge surprise, believing that an anchor is the right answer will certainly result in smaller deviations.
This research has been presented at the 35th Annual Conference of the Society of Judgment and Decision Making in 2014, in Long Beach, California.
- Mussweiler, T., & Strack, F. (2001). Considering the impossible: Explaining the effects of implausible anchors. Social Cognition, 19(2), 145–160.
- Strack, F., & Mussweiler, T. (1997). Explaining the enigmatic anchoring effect: Mechanisms of selective accessibility. Journal of personality and social psychology, 73(3), 437.
- Wong, K. F. E., & Kwong, J. Y. Y. (2000). Is 7300 m equal to 7.3 km? Same semantics but different anchoring effects. Organizational Behavior and Human Decision Processes, 82(2), 314–333.
Originally published at: https://learncuriously.wordpress.com/2019/04/08/anchoring-effect-in-a-plausible-range | s3://commoncrawl/crawl-data/CC-MAIN-2019-30/segments/1563195525355.54/warc/CC-MAIN-20190717161703-20190717183703-00120.warc.gz | CC-MAIN-2019-30 | 12,348 | 45 |
https://www.hse.ru/en/edu/courses/416020029 | math | Research Seminar "An introduction to Factorisation Homology"
- Students will take turns lecturing on the basic theory of factorisation homology, as well as its applications.
- Students will learn the basics of factorisation homology, while improving their presentation and writing skills.
- Review of homotopical category theory (`infinity categories')
- Definition of little disks operads and its generalisations
- Topology of configuration spaces
- Factorisation algebras for stratified spaces
- Definition of factorisation homology and basic examples
- Interim assessment (4 module)0.5 * Student presentation + 0.5 * Students notes of presentation in TeX | s3://commoncrawl/crawl-data/CC-MAIN-2021-10/segments/1614178350846.9/warc/CC-MAIN-20210225065836-20210225095836-00317.warc.gz | CC-MAIN-2021-10 | 657 | 9 |
https://www.jiskha.com/display.cgi?id=1187917571 | math | posted by Anonymous .
Suppose a piece of lead with a mass of 14.9 g at a temperature of 92.5 C is dropped into an insulated container of water. The mass of water is 165 g and its temperature before adding the lead is 20.0 C. What is the final temperature?
I know that I have to multiply (mass in grams)(change in temperature)(specific heat) but I think I'm missing a step because I can't find the anwer to the problem.
heat lost by lead + heat gained by water = 0
masslead*specific heat lead * (Tf - Ti) + mass H2O * specific heat water * (Tf - Ti) = 0
Tf is final T
Ti is initial T.
solve for Tf. Post your work if you get stuck. | s3://commoncrawl/crawl-data/CC-MAIN-2017-34/segments/1502886105961.34/warc/CC-MAIN-20170820015021-20170820035021-00006.warc.gz | CC-MAIN-2017-34 | 630 | 8 |
https://www.jiskha.com/display.cgi?id=1308233148 | math | posted by Lia .
1) A particle travels between two parallel vertical walls separated by 16 m. It moves toward the opposing wall at a constant rate of 6.4 m/s. It hits the opposite wall at the same height. The acceleration of gravity is 9.8 m/s. a) What will be its speed when it hits the opposing wall? (answer is 13.82). B -At what angle with the wall will the particle
2)A projectile of mass 0.208 kg is shot from a cannon. The end of the cannon’s barrel is at height 6.8 m, as shown in the figure. The initial velocity of the projectile is 9.6 m/s . The projectile rises to a maximum height of ∆y above the end of the cannon’s barrel and strikes the ground a horizontal distance ∆x past the end of the cannon’s barrel. A-Find the time it takes for the projectile to reach its maximum height. The acceleration of gravity is 9.8 m/s. B- How long does it take the projectile to hit theground? C-How long does it take the projectile to hit theground? | s3://commoncrawl/crawl-data/CC-MAIN-2018-05/segments/1516084888341.28/warc/CC-MAIN-20180120004001-20180120024001-00356.warc.gz | CC-MAIN-2018-05 | 959 | 3 |
http://zbmath.org/?q=an:0964.11015 | math | In the note under review the author studies the rational numbers
where are the classical famous Bernoulli numbers. He shows that these modified Bernoulli numbers have some very interesting properties similar to the classical ones, namely
a) The value of for odd is periodic mod 12;
b) The fractional part of for even is given by ;
c) , , even, where denotes the th Bessel function of the second kind.
The proofs are really fun, as the author points out, and are examples of his virtuos handling of generating functions. | s3://commoncrawl/crawl-data/CC-MAIN-2014-15/segments/1398223211700.16/warc/CC-MAIN-20140423032011-00447-ip-10-147-4-33.ec2.internal.warc.gz | CC-MAIN-2014-15 | 519 | 6 |
https://core-cms.prod.aop.cambridge.org/core/books/navierstokes-equations/scope-of-the-book/291F79ECC9147139BF5CFCDFBE68E923 | math | This monograph elaborates a fundamental topic of the theory of fluid dynamics which is introduced in most textbooks on the theory of flow of a viscous fluid. A knowledge of this introductory background, for which reference may be made to Batchelor (1967), will be assumed here. However, it will be helpful to summarise a little of the background wherever we need it. In particular, we begin by introducing the scope of the book by loosely defining the terms of the title.
The Navier–Stokes equations are the system of non-linear partial differential equations governing the motion of a Newtonian fluid, which may be liquid or gas. In essence, they represent the balance between the rate of change of momentum of an element of fluid and the forces on it, as does Newton's second law of motion for a particle, where the stress is linearly related to the rate of strain of the fluid. Newton himself did not understand well the nature of the forces between elemental particles in a continuum, but he did (Newton 1687, Vol. II, Section IX, Hypothesis, Proposition LI) initiate the theory of the dynamics of a uniform viscous fluid in an intuitive and imaginative way. It was many years later that the Navier–Stokes equations, as we now know them, were deduced from various physical hypotheses, and in various forms, by Navier (1827), Poisson (1831), Saint-Venant (1843) and Stokes (1845). | s3://commoncrawl/crawl-data/CC-MAIN-2021-39/segments/1631780055808.78/warc/CC-MAIN-20210917212307-20210918002307-00544.warc.gz | CC-MAIN-2021-39 | 1,387 | 2 |
https://aas.org/archives/BAAS/v25n4/aas183/abs/S3707.html | math | Previous abstract Next abstract
The fourth part of the high galactic latitude search for millisecond period pulsars in the right ascension range between 13$^h$ and 18$^h$ using the Arecibo telescope as a transit instrument has been completed. In the survey conducted between April and August 1993 we have found one millisecond period pulsar (PSR J1640+22, $P$=3.16 ms, in a 180--day circular orbit with a low--mass companion), seven slow pulsar candidates (four already confirmed during the April and August sessions) and two known pulsars (PSR B1633+24, PSR B1530+27). The total area searched at 430 MHz exceeded 400 square degrees. However, about 25--30\% of data were severely corrupted by radio frequency interference, and more than 60\% of data had some background interference of varying strength. The steadily growing contribution of man--made interference to data has seriously impacted the current search sensitivity. We summarize the results of this latest survey along with the three previous surveys conducted by the authors in a similar manner.
Thursday program listing | s3://commoncrawl/crawl-data/CC-MAIN-2019-35/segments/1566027318952.90/warc/CC-MAIN-20190823172507-20190823194507-00008.warc.gz | CC-MAIN-2019-35 | 1,082 | 3 |
https://www.physicsforums.com/threads/kinematics-moving-car.874125/ | math | A police car at rest, is passed by a speeder traveling at constant speed of 180 km/hr, take off in hot pursuit accelerating at 3.7 m/s². How far has the police car traveled to catch the speeder?
I think we would use x = xo + vot + 1/2at^2[/B]
(Or maybe V^2 = vo^2 + 2a(x-xo)?I am getting confused with which equations are relevant).
The Attempt at a Solution
I know xo is 0 because it is the start position at rest, vot is also 0 because its not moving. I am confused as to what I do with the 180 km/hr (I converted to 50 m/s) | s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233506420.84/warc/CC-MAIN-20230922134342-20230922164342-00554.warc.gz | CC-MAIN-2023-40 | 527 | 5 |
https://www.buzzfeed.com/ricks15/25-reasons-you-are-awful-no-one-loves-you-and-wil-4cvv | math | 1. You Are A Terrible Roomate
2. Two words: iPad selfies.
3. You wear Crocs.
4. You live here.
5. You park like this
6. This is your Spotify playlist
7. You have an awful Netflix Queue.
8. You spend too much time tanning.
9. You are an awful neighbor.
10. You don't do this.
11. You have odd eating habits.
12. You always talk about yourself.
13. You drink the last of the milk in the carton.
14. You do this.
15. You Instagram your food. All of it.
16. You make stupid posts on Facebook.
17. You give meaningless advice just to be saying something.
18. You never take responsibility for anything. Ever.
19. You don't know when to stop.
20. You always have to be the center of attention.
21. You use your phone in inappropriate places.
22. You stand on the wrong side of the escalator.
23. You don't observe proper mass transit etiquette.
24. You only pretend to hold the elevator.
25. You never replace the toilet paper roll.
This post was created by a member of BuzzFeed Community, where anyone can post awesome lists and creations. Learn more or post your buzz! | s3://commoncrawl/crawl-data/CC-MAIN-2019-22/segments/1558232256314.52/warc/CC-MAIN-20190521102417-20190521124417-00107.warc.gz | CC-MAIN-2019-22 | 1,064 | 26 |
https://www.jiskha.com/members/profile/posts.cgi?name=Ginny | math | Posts by Ginny
Total # Posts: 36
What is the fundamental frequency on a 5 m rope that is tied at both ends if the speed of the waves is 24 m/s?
Radio waves travel at the speed of light, which is 3.00 ✕ 108 m/s. What is the wavelength for a FM station broadcasting at 97.9 MHz (the prefix M is "mega" and means 106)?
A carnival clown, 80 kg, rides a motorcycle down a ramp and then up and around a large, vertical loop. If the loop has a radius of 18 m, what is the force that the track exerts on the rider at the TOP of the loop if the clown is traveling at an impressive speed of 15 m/s?
Which does the following sentence contain? Walking by the river is our favorite pastime. participle infinitive as subject gerund as subject prepositional phrase as adjective I'm confused with whether it is a participle (a verb acting as an adjective) or a prepositional ...
A bird sitting 16 feet above the ground in an apple tree dislodges an apple. After how many seconds does the apple land on the ground? my text book gives this equation: h = -16t^2 + vt + s (t = secs, v= vertical velocity, s = initial height) so i wrote: h = -16t^2 + vt 16 I...
A kicker punts a football from 3 feet above the ground with an initial velocity of 47 feet per second. 1. Write an equation that gives the height (in feet) of the football as a function of the time (in secs) since it was punted. Okay. According to my text book, h = -16t^2 + vt...
That's right.. sorry 'bout that. Thanks, Mate.
2500ft^2 x 1gal/(0.134ft^2)=~ 186567 gal. Right?
Could you maybe walk me through this Algebra word problem? Here is the problem: Anita wants to put a moat around her rectangular castle. The castle is 45 ft by 60 ft. Let m be the width of the moat. 1. Write a polynomial that represents the total area of the castle and moat. 2...
I need to factor the expression z^2 + 15z - 54 I think it's either (z - 9)(z + 6) OR (z - 6)(z + 9) Can you help me out? Thanks!
I need to factor the expression t^2 + 4tv + 4v^2 I got this answer: (t + 2v)(t + 2v) Check my work? Thanks!
A gold bar is exactly 31 cm long. You want to cut the bar into smaller segments so that one or a combination of segments can add up to every whole number of centimeters from 1 to 31. What is the least number of cuts you could make and what are the lengths of each smaller piece?
According to order of operations, you have to multiply/divide first. Because multiplying comes before dividing in this problem, you multiply 5x9 to get 45. You now divide. 45/56 is rounded to about .80, and you add 5 to that to get 5.80
Hi, Rhianna. What you would first do is multiply: 7x7x7x7x7x7, which would equal 117,649. 7x7x7x7x7x7x7 would equal 823,543. 117,649/823,543 would finally equal 0.14285714285
If a data set is: 18, 9, 14, 10, 15.... What would be the mean absolute deviation? What I got was 13.2, but it seems incorrect. Please help!
An electron accelerates from rest to the right, in a horizontally directed electric field. The electron then leaves the electric field at a speed of 4.0 × 106, entering a magnetic field of magnitude 0.20 T (Tesla) directed into the screen. Calculate the magnitude and ...
Calculus and Vectors
Show that proj(b⃗a⃗) =[(a⃗⋅b⃗)/(b⃗⋅b⃗)](b⃗)
The answer is water pollution.
A person throws a rock straight up into the air. At the moment it leaves the person's hand it is going 91 mph. When the rock reaches its peak, how fast is it going and what is the magnitude and direction of its acceleration? Ignore air drag
What is a galaxy with no definite shape or size called?
1)Caliban is a sort of monster- half man, half beast. There is hostility betweem Prospero and Caliban. 2)Thanks to his magic art, Prospero subdues all the spirits living on the island, including Caliban, into his service. 3)Caliban claimed to own the island. It belonged to him...
Triangle PQR has vertices P(1,2), Q(25,2) and R(10,20). Find the coordinates of the centroid. Find the coordinates of the circumcenter. Find the coordinates of the orthocenter. Find the equation of the line.
Staples recently charged $17.99 per box of Pilot Precise rollerball pens and $7.49 per box for Bic Matic Grip mechanical pencils. If Kelling Community College purchased 120 such boxes for a total of $1234.80, how many boxes of each type did they purchase?
a party suppilies store recored net sales of $423,400 for the year. the store's begining inventory at retail was $105,850 and its ending inventory inventory at retail was $127,020.what would be the inventory turnover at retail,rounded to the nearest tenth?
A rectangular room has a perimeter of 94 and area of 546. What are the dimensions of the room?
Two 6.7kg bowling balls, each with a radius of 0.14m , are in contact with one another.What is the gravitational attraction between the bowling balls?
what network covers small ares, such as a group of buildings or campus?
Same question. What other methods of measurment do sociologists use to calculate prejudice?
How do I find the domain of the funcition algebraically and support my answer graphically? f(x) = sqrt(x2) + (4)
I need help w/ a question: Insulin protein has 2 polypeptides A and B. Human and duck insulins have the same sequence except for six below. Is the pI of human insulin higher or lower than duck insulin? AA seq. A8 A9 A10 B1 B2 B27 Human Thr Ser Ile Phe Val Thr Duck Glu Asn Pro ...
Will somebody please tell me the nitrogen,H20, and carbon formulas???? Thanks!
Will somebody please tell me the following formulas: Nitrogen Water (H20) and carbon?? Thanks | s3://commoncrawl/crawl-data/CC-MAIN-2017-30/segments/1500549423320.19/warc/CC-MAIN-20170720181829-20170720201829-00683.warc.gz | CC-MAIN-2017-30 | 5,532 | 35 |
https://www.physicsforums.com/threads/electric-potential-and-conservation-of-energy.571099/ | math | An electron is released from rest on the axis of a uniform positively charged ring, 0.174 m from the ring's center. If the linear charge density of the ring is +0.150 nC/ m and the radius of the ring is 0.348 m, how fast will the electron be moving when it reaches the center of the ring?
The Attempt at a Solution
I've tried to find the electric potential at each point,the charge of the ring using q=λL where L i found by using 2∏r. From that, i took the difference between the electric potentials and plugged it into the first equation and equated that to the change in kinetic energy and solved for v but it's not right. can someone see what i did wrong? | s3://commoncrawl/crawl-data/CC-MAIN-2021-31/segments/1627046152144.92/warc/CC-MAIN-20210726183622-20210726213622-00275.warc.gz | CC-MAIN-2021-31 | 661 | 3 |
https://shop.mrsdscorner.com/products/measuring-in-standard-and-metric-units-task-cards-centers-for-special-ed | math | MEASUREMENT WORK BIN TASK CARDS | Students will identify, interpret, and measure objects using nonstandard, standard, and metric units with these task cards.
What is included?
• 84 task cards
• 60 answer pieces
What skills are practiced?
• Identifying proper measurement tool to measure an object (inches, centimeters, feet) - 24 cards
• Measure objects using nonstandard units (marbles, paperclips, and cubes) - 12 cards, 12 answer pieces
• Measure and match objects using inches - 12 cards, 12 answer pieces
• Measure and match objects using centimeters - 12 cards, 12 answer pieces
• Measure classroom objects and write using feet - 12 cards
• Measure classroom objects and write using meters - 12 cards
Connect with me: | s3://commoncrawl/crawl-data/CC-MAIN-2023-23/segments/1685224652235.2/warc/CC-MAIN-20230606045924-20230606075924-00742.warc.gz | CC-MAIN-2023-23 | 739 | 12 |
https://mathsmadeeasy.co.uk/ks3-maths-revision-cards-answers/p8/ | math | Question: Inés works at an animal shelter and has to weigh each of the dogs that come in. She records the results of this process in a table (as shown below). Construct a frequency polygon of Inés’ data
Solution: Firstly, we need to complete the midpoints column. Each of these groups fall between multiples of 10, so the midpoints shouldn’t be too difficult to find. The result is the table below. | s3://commoncrawl/crawl-data/CC-MAIN-2020-40/segments/1600400187899.11/warc/CC-MAIN-20200918124116-20200918154116-00520.warc.gz | CC-MAIN-2020-40 | 404 | 2 |
https://exampur.com/short-quiz/1023/ | math | Question contains set of figures showing a sequence of folding a piece of paper. Last figure shows the manner in which folded paper has been cut. Which answer figure is most closely resembled the unfolded form of the question figure?
Which of the following diagrams correctly show the relationship between the three words given below?
Words : Actors, Politicians, Social persons | s3://commoncrawl/crawl-data/CC-MAIN-2023-06/segments/1674764499758.83/warc/CC-MAIN-20230129180008-20230129210008-00372.warc.gz | CC-MAIN-2023-06 | 378 | 3 |
https://thesportsdb.com/team/138337?cutout=1 | math | |08 Dec 22||Zira FK ||-|| Neftçi PFK|
|15 Dec 22||Turan Tovuz ||-|| Neftçi PFK|
|20 Dec 22||Neftçi PFK ||-|| Zira FK|
|23 Dec 22||Neftçi PFK ||-|| Keşla FK|
|24 Jan 23||Sabah FC ||-|| Neftçi PFK|
|02 Dec 22||Neftçi PFK|| ||0 - 4|| ||Qarabag FK|
|27 Nov 22||Neftçi PFK|| ||3 - 1|| ||Sabail FK|
|12 Nov 22||Neftçi PFK|| ||2 - 0|| ||Gabala FK|
|05 Nov 22||Sumgayit FK|| ||2 - 2|| ||Neftçi PFK|
|29 Oct 22||Zira FK|| ||0 - 3|| ||Neftçi PFK|
Neftçi Peşəkar Futbol Klubu (English: Neftchi Professional Football Club), simply known as Neftçi (pronounced ) or Neftchi Baku in English media, is an Azerbaijani football club based in the capital, Baku, that currently plays in the Azerbaijan Premier League.
Founded in 1937, the club has won eight Azerbaijan Premier League titles, seven Azerbaijan Cups and two Azerbaijan Supercup titles. The club is one of the two teams in Azerbaijan, along with Qarabağ, which has participated in all Azerbaijan Premier League championships so far.
In 2012, Neftçi became the first Azerbaijani club to advance to the group stage of a European competition after defeating APOEL 4–2 on aggregate in the play-off round of the 2012–13 UEFA Europa League. Neftçi plays its matches at the Bakcell Arena.
İsrafilov #14 (Eddy Silvestre)
| || || | | s3://commoncrawl/crawl-data/CC-MAIN-2022-49/segments/1669446711003.56/warc/CC-MAIN-20221205032447-20221205062447-00394.warc.gz | CC-MAIN-2022-49 | 1,308 | 15 |
https://www.brightstorm.com/math/geometry/triangles/special-isosceles-triangle-properties-problem-1/ | math | Special Isosceles Triangle Properties - Problem 1
Let’s look at a problem where we can apply what we know about the special segment in an isosceles triangle. The problem says if the perimeter of ABC, our triangle, is 36cm and if AB is equal to 10cm, find the segment DC.
So let’s start by writing in what we know. Well we’re given that AB is equal 10cm, since we have an isosceles triangle which I know from these markings, I can say that BC must also be 10 centimetres. So if I add up these three sides including the base, I get 36.
So what I’m going to do is I’m going to split this up into 2 pieces called x, but why can I do that? Because this altitude in my isosceles triangle from the vertex angle, is also the median, so what this point does it bisects this line segment AC. So let’s write an equation.
We know that 36 is the sum of our total perimeter, so that’s 10 plus 10 which in my head I’m going to do is 20, plus x and x which is 2x. So if I solve this equation, I’m going to subtract 20 from both sides and I get 16 equals 2x and if I divide by 2, I see that x must equal 8. X also happens to be DC, so find line segment DC, that’s just going to be 8cm.
The key to this problem is remembering that this altitude is also the median of this base. | s3://commoncrawl/crawl-data/CC-MAIN-2014-15/segments/1398223206147.1/warc/CC-MAIN-20140423032006-00318-ip-10-147-4-33.ec2.internal.warc.gz | CC-MAIN-2014-15 | 1,279 | 6 |
https://thronic.com/docs_archived/artikler/diverse/Resistors-Series-and-Parallel/ | math | Resistors Series and Parallel
Just a small layman formula note. This is only for how Ohm resistance by itself is added when put in serial or parallel and does not mention how volts or current relates to it. Just google Ohm's law if you're looking for more info, I often use it myself when creating things like LED arrays.
Resistors in series:
10+10+5 = 25 Ω
Resistors in parallel:
E.g. 10+10+5 = 1 / ((1/10)+(1/10)+(1/5)) = 2.5 Ω
Parallel Note: Imagine a narrow water hose with water flowing through it. Now imagine you have 2 of them. Now the water has less resistance, as more water will flow through them combined. So, if you have 2 resistors at 10 Ohm in parallel 1/((1/10)+(1/10)), you have a new resistance at 5 Ohm because of the double flow paths. | s3://commoncrawl/crawl-data/CC-MAIN-2021-43/segments/1634323585183.47/warc/CC-MAIN-20211017210244-20211018000244-00063.warc.gz | CC-MAIN-2021-43 | 757 | 7 |
https://web2.0calc.com/questions/homework-help_29 | math | In the diagram below, chords AB and CD are perpendicular, and meet at X. If AX = 3, BX = 4, CX = 6 and DX = 2, then find the diameter of the circle.
Any solutions? I've been stuck on it for a while. All answers are welcome! Can be correct answers or partially done work to get me on the right track . | s3://commoncrawl/crawl-data/CC-MAIN-2020-45/segments/1603107894759.37/warc/CC-MAIN-20201027195832-20201027225832-00305.warc.gz | CC-MAIN-2020-45 | 300 | 2 |
https://books.google.la/books?id=ELcAAAAAMAAJ&pg=PA54&vq=theory&dq=editions:OCLC1012786239&hl=lo&output=html_text | math | « PreviousContinue »
not be the form of the earth, because the strata increase in density towards the centre. The lunar inequalities also prove the earth to be so constructed; it was requisite, therefore, to consider the fluid mass to be of variable density. Including this condition, it has been found that the mass, when in rotation, would still assume the form of an ellipsoid of revolution; that the particles of equal density would arrange themselves in concentric elliptical strata, the most dense being in the centre; but that the compression would be less than in the case of the homogeneous fluid. The compression is still less when the mass is considered to be, as it actually is, a solid nucleus, decreasing regularly in density from the centre to the surface, and partially covered by the ocean, because the solid parts, by their cohesion, nearly destroy that part of the centrifugal force which gives the particles a tendency to accumulate at the equator, though not altogether; otherwise the sea, by the superior mobility of its particles, would flow towards the equator and leave the poles dry: besides, it is well known that the continents at the equator are more elevated than they are in higher latitudes. It is also necessary for the equi librium of the ocean, that its density should be less than the mean density of the earth, otherwise the continents would be perpetually liable to inun
dations from storms and other causes. On the whole, it appears from theory that a horizontal line passing round the earth, through both poles, must be nearly an ellipse, having its major axis in the plane of the equator, and its minor axis coinciding with the axis of the earth's rotation. The intensity of the centrifugal force is measured by the deflection of any point from the tangent in a second, and is determined from the known velocity of the earth's rotation: the force of gravitation at any place is measured by the descent of a heavy body in the first second of its fall. At the equator the centrifugal force is equal to the 289th part of gravity, and diminishes towards the poles as the cosine of the latitude, for the angle between the directions of these two forces, at any point of the surface, is equal to its latitude. But whatever the constitution of the earth and planets may be, analysis proves that, if the intensity of gravitation at the equator be taken equal to unity, the sum of the compression of the ellipsoid and the whole increase of gravitation, from the equator to the pole, is equal to five-halves of the ratio of the centrifugal force to gravitation at the equator. This quantity, with regard to the earth, is of, or i consequently the compression of the earth is equal to, diminished by the whole increase of gravitation, so that its form will be known, if the
whole increase of gravitation, from the equator to the pole, can be determined by experiment. But there is another method of ascertaining the figure of our planet. It is easy to show, in a spheroid whose strata are elliptical, that the increase in the length of the radii, the decrease of gravitation, and the increase in the lengths of the arcs of the meridian, corresponding to angles of one degree, from the pole to the equator, are proportional to the square of the cosine of the latitude. These quantities are so connected with the ellipticity of the spheroid, that the total increase in the length of the radii is equal to the compression, and the total diminution in the length of the arcs is equal to the compression multiplied by three times the length of an arc of one degree at the equator. Hence, by measuring the meridian curvature of the earth, the compression, and consequently its figure, become known. This, indeed, is assuming the earth to be an ellipsoid of revolution, but the actual measurement of the globe will show how far it corresponds with that solid in figure and constitution.
The courses of the great rivers, which are in general navigable to a considerable extent, prove that the curvature of the land differs but little from that of the ocean; and as the heights of the mountains and continents are inconsiderable when
compared with the magnitude of the earth, its figure is understood to be determined by a surface at every point perpendicular to the direction of gravitation, or of the plumb-line, and is the same which the sea would have if it were continued all round the earth beneath the continents. Such is the figure that has been measured in the following
A terrestrial meridian is a line passing through both poles, all the points of which have their noon contemporaneously. Were the lengths and curvatures of different meridians known, the figure of the earth might be determined; but the length of one degree is sufficient to give the figure of the earth, if it be measured on different meridians, and in a variety of latitudes; for if the earth were a sphere, all degrees would be of the same length, but if not, the lengths of the degrees will be greatest where the curvature is least, and will be greater exactly in proportion as the curvature is less; a comparison of the lengths of the degree in different parts of the earth's surface will therefore determine its size and form.
An arc of the meridian may be measured by observing the latitude of its extreme points, and then measuring the distance between them in feet or fathoms the distance thus determined on the surface of the earth, divided by the degrees and
parts of a degree contained in the difference of the latitudes, will give the exact length of one degree, the difference of the latitudes being the angle contained between the verticals at the extremities of the arc. This would be easily accomplished were the distance unobstructed, and on a level with the sea; but on account of the innumerable obstacles on the surface of the earth, it is necessary to connect the extreme points of the arc by a series of triangles, the sides and angles of which are either measured or computed, so that the length of the arc is ascertained with much laborious computation. In consequence of the irregularities of the surface, each triangle is in a different plane; they must therefore be reduced by computation to what they would have been, had they been measured on the surface of the sea; and as the earth may in this case be esteemed spherical, they require a correction to reduce them to spherical triangles.
Arcs of the meridian have been measured in a variety of latitudes north and south, as well as arcs perpendicular to the meridian. From these measurements it appears that the lengths of the degrees increase from the equator to the poles, nearly in proportion to the square of the sine of the latitude; consequently the convexity of the earth diminishes from the equator to the poles.
Were the earth an ellipsoid of revolution, the | s3://commoncrawl/crawl-data/CC-MAIN-2024-18/segments/1712297290384.96/warc/CC-MAIN-20240425063334-20240425093334-00823.warc.gz | CC-MAIN-2024-18 | 6,849 | 11 |
http://www.umass.edu/wsp/statistics/math/exponents.html | math | The exponent is the little number to the upper right of a letter or numeral, like the little 2 in the expression x². It means that the number in question is to multiplied by itself that many times, thus
x² = (x)(x)
x³ = (x)(x)(x)
and so on. x² is conventionally read as "x squared." More generally, an exponent means, and can be pronounced, "x raised to the [whatever] power."Roots
One may ask the opposite question: what is the number which, when multiplied by itself [however many] times, equals x? For x² the answer is "the square root of x," symbolized by Öx ("radical x" or "root x"). For greater precision, this might be written ²Öx, but we typically do not bother; all roots are assumed to be square roots unless written otherwise. If another index, say n, is written before the radical sign, the resulting expression is pronounced "the nth root of x."Operations
Briefly, when powers of the same base are multiplied, their indices (exponents) are added, thus:
(x¹) (x²) = x³
Substitute 2 for x in these equations to demonstrate their truth.
It follows that when powers of the same base are divided, their indices are subtracted, thus
x³ /x² = x¹
It follows that:
x³ /x³ = x¹ = 1
which is to say, anything to the zero power (anything divided by itself) equals 1.
Indices of different base (as, x² times y²) cannot be multiplied; their product can only be indicated as x²y² (and so on). Powers with the same base and the same exponent (and only those) may be added, thus:
x² + x² = 2x²
When evaluating an expression like 2x², we always do the exponentiation first, and only then the multiplication. Thus, if x here equals 3, we have first
x² = 9
and then, substutiting in the expression 2x², we have
(2)(9) = 18
or in one step, 2x² = 18. The big "2" out in front is called a coefficient. Mistakes with exponents are usually mistakes of order in evaluating expressions like 2x², or mistakes in multiplication. If the above models are followed, there should never be any trouble.
Statistics is Copyright © 2001- by E Bruce Brooks
Contact The Project / Exit to Statistics Page | s3://commoncrawl/crawl-data/CC-MAIN-2013-20/segments/1368703830643/warc/CC-MAIN-20130516113030-00009-ip-10-60-113-184.ec2.internal.warc.gz | CC-MAIN-2013-20 | 2,108 | 22 |
http://jwilson.coe.uga.edu/EMT668/EMAT6680.2001/Mealor/writeup4/proof1.html | math | Theorem: Each median of a triangle separates that triangle into two triangles of equal area.
(Auxiliary line segment BK has been constructed
perpendicular to side AC) Since BF is a median of triangle ABC,
F is the midpoint of AC and AF = FC. Both triangles BFC and ABF
have the same altitude BK. Triangles ABF and BFC have the same
base length and height and therefore the area of each triangle
is the same. | s3://commoncrawl/crawl-data/CC-MAIN-2022-33/segments/1659882573623.4/warc/CC-MAIN-20220819035957-20220819065957-00562.warc.gz | CC-MAIN-2022-33 | 407 | 7 |
https://en.wikipedia.org/wiki/Kanakanahalli_Ramachandra | math | |Alma mater||University of Bombay|
|Institutions||Tata Institute of Fundamental Research National Institute of Advanced Studies|
|Doctoral advisor||K. G. Ramanathan|
|Doctoral students||T. N. Shorey|
|Other notable students||Atiyolil Venugopalan|
Kanakanahalli Ramachandra (18 August 1933 – 17 January 2011) was an Indian mathematician working in both analytic and algebraic theory of numbers. He was one of the world's greatest number theoreticians in his time.[vague]
After his father's death at age 13, he had to look for a job. Ramachandra worked as a clerk at the Minerva Mills where Ramachandra's father had also worked. In spite of taking up a job quite remote from mathematics, Ramachandra studied number theory all by himself in his free time; especially the works of Ramanujan.
Ramachandra went to the Tata Institute of Fundamental Research (TIFR), Bombay, for his graduate studies in 1958. He obtained his Ph.D. from University of Mumbai in 1965; his doctorate was guided by K. G. Ramanathan.
Between the years 1965 and 1995 he worked at the Tata Institute of Fundamental Research and after retirement joined the National Institute of Advanced Studies, Bangalore where he worked till 2011, the year he died. During the course of his lifetime, he published over 200 articles, of which over 170 have been cataloged by Mathematical Reviews.
His work was primarily in the area of prime number theory, working on the Riemann zeta function and allied functions. Apart from prime number theory, he made substantial contributions to the theory of transcendental number theory, in which he is known for his proof of the six exponentials theorem, achieved independently of Serge Lang. He also contributed to many other areas of number theory.
In 1978 he founded the Hardy–Ramanujan journal, and published it on behalf of the Hardy–Ramanujan society until his death.
Awards and distinctions
- Elected President of the Calcutta Mathematical Society for the period; 2007-2010
- Elected Vice President of the Calcutta Mathematical Society for the period; 2000-2003
- Meghnad Saha Award, UGC, Hari Om Trust (1976)
- Srinivasa Ramanujan Birth Centenary Award ISCA ; 1994-1995
- Srinivasa Ramanujan Medal; 1997.
- Sir.M.Vishveshwaraya Award of KSCST; 1997
- Editor of Hardy-Ramanujan Journal
- Ramachandra, K. (1969), Lectures on transcendental numbers, The Ramanujan Institute Lecture Notes, 1, The Ramanujan Institute, Madras, MR 0260678
- Ramachandra, K. (1995), On the mean-value and omega-theorems for the Riemann zeta-function, Tata Institute of Fundamental Research Lectures on Mathematics and Physics, 85, Published for the Tata Institute of Fundamental Research, Bombay, ISBN 978-3-540-58437-7, MR 1332493
- Sinha, Nilotpal Kanti (2011), On the half line: K. Ramachandra, arXiv:1209.3934, Bibcode:2012arXiv1209.3934K
- Waldschmidt, Michel (2006), "On Ramachandra's contributions to transcendental number theory", The Riemann zeta function and related themes: papers in honour of Professor K. Ramachandra, Ramanujan Math. Soc. Lect. Notes Ser., 2, Mysore: Ramanujan Math. Soc., pp. 155–179, MR 2335194
- Ramachandra, K (1967/68), Contributions to the theory of transcendental numbers. I, II., 14, Acta Arith., pp. 65–72 Check date values in:
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http://eiih.reichpol.de/2wd9 | math | espn win probability model.
The Binomial Model. hopfensperger, h. To examine more deeply, I'll compare 6 independently created win probability models using projections from Super ESPN: ESPN's predictions, provided by Henry Gargiulo and Brian Burke, are derived from an ensemble of machine learning models. Get up to $3,000 (plus $0 commissions)1 Learn how. Given multiple season's worth of data, created a win probability model by creating confidence intervals. American Athletic Conference foe, Cincinnati, who is projected to win the conference, is listed with a 9. › Get more: Win probability calculatorDetail Windows. We're removing some of the variables such as quarter, clutch and home/away_days_rest which include NAs. Probability of getting a head = 0. I haven't coded anything since college. - ESPN top www. Probabilities—Textbooks. Let's take football (soccer) for example. Take charge of your finances with a new E*TRADE brokerage or retirement account by December 31. The problem of in-game win probability is to identify the chances of a team (e. Using random forests to estimate win probability before each play of an nfl game. NflWAR: A reproducible method for offensive player evaluation in football. Virginia is seeded first again in 2019, and Bouzarth says the Cavaliers have by far the best chance of all of the No. , the home-team without loss of generality) winning the game given The model itself is based on a logistic regression model. The win probability graphic/discussion on ESPN is literally taking a sword and sticking it through the chest of any fun left in baseball. You have reached ESPN's UK edition. Also, is there a database that contains historic pre-game win probabilities? I don't know how ESPN specifically models it, but 538 has described their model (which is pretty simple, relative to Fangraphs and Baseball Prospectus, which use individual player projections). Using previous research by Hal Stern, Winston posited that the final margin of victory for an NFL team in a given game can be approximated as a normal random variable. 12% probability of going undefeated based on those projections. If you score the most points, you'll have a chance to win the grand prize: a trip for two to Hawaii for the 2021 Maui Jim Maui Invitational and a $10,000 Amazon. As the game progresses, one would expect Brier scores to decrease, and that is what you see for the Inpredictable Brier scores. ESPN also boasts a win probability model. In-game win probability models have become increasingly popular in a variety of sports over the last decade. Best NBA Parlay Picks Tonight: Expert Bets & Player Props for Wednesday 1/5/22. Before we do so, let's split the dataset into training and testing sets with To do so, we need to convert the estimated win probabilities from the logistic regression model to a definitive prediction of. Win probability (WP) models seek to predict the outcome of a game at any moment, given its unique situation, and give us the ability to influence, critique, or congratulate decision making in those defining moments. Introduction to Probability. Using this fantastic site can help place smart wagers in an easy-to-use fashion and maximize the ROI on the wagers. ESPN: Serving sports fans. 2021 NFL Expert Picks | ESPN great www. Use code: BONUS21. While for a game of infinite duration a linear model could be a very good approximation, the. The Titans' win eliminated the Colts' chance to win the AFC South. 1 pick, and he will have to play catch-up after serving a three-game. Better known as Merton structured approach. Ben Roethlisberger describes his emotions after. Therefore, in this paper we present the design of iWinRNFL, an in-game win probability model for This work forms the basis for ESPN's prediction engine, which uses an. o ESPN's reporting is not flawless 111. I've never touched sports data in my life. College Football Playoff Predictor - ESPN. ESPN's win probability model agreed with Brandon Staley's decision to go for it on 4th-and-1 in the 4th quarter. How far is your team going to proceed into the playoffs? The NFL Post Season Probabilities table presents the probabilities that your team will proceed to different playoff rounds. I remember seeing win probabilities during ESPN. Covers the rules of addition, subtraction, and Often, we want to compute the probability of an event from the known probabilities of other events. Logistic or probit preferred in most applications. Better Predicted Probabilities from Linear Probability Models. In contrast to ESPN’s win probability metric for football, our model only gave the Atlas a slight advantage after their last goal even though so little time was left. Today Clinton’s odds of victory range from 66 to. I can already tell the win probability numbers ESPN flashes occasionally above the scoreboard is going to annoy me all year. According to ESPN, FPI is a statistical model that works as follows: “[It] determines forward-looking strength ratings for every team based on a variety of factors, including team win total, projected starting quarterback, returning starters and past performance on offense, defense and special teams. The polls-plus is the most stable over the course of the campaign but the three models are expected to converge as we get closer to the election. 5 = Probability of getting a tail since there are only two possible outcomes. The roots of our win probability model lie in the theory put forth in chapters 43 and 45 of Wayne Winston's book Mathletics. CLE: PIT: PIT 100%. To specify game state for the Elam Ending, you need to know three things: Distance to Target Score: How far away the leading team's score. by Kyle Bennison. 4 percent probability odds — the sixth best in the country — to reach the Final Four. Probability - A risk is an event that "may" occur. In-game win-probability models have been extensively studied in baseball, basketball and American football. 3 Probabilities Defined on Events. The data is provided by ESPN Below are the five most impactful plays of the game (as measured by ESPN's win probability model) ordered chronologically. Here's how the ESPN win probability model assessed the decision, per ESPN's Mike Reiss: ESPN win probability metrics had the field goal (fourth-and-3 from the 37-yard line) as the correct decision by the Patriots. Compared to expected points models, there is considerably more literature on different methodologies for estimating the win probability of a play in. NFL’s Next Gen Stats captures real time location data, speed and acceleration for every player, every play on every inch of the field. IMDb is the world's most popular and authoritative source for movie, TV and celebrity content. RATIO The rank of a team subjectively measures its relative strength compared to other teams. A description of ESPN’s methods was not listed on its site, but in 2017 Michael Lopez, then an assistant. In politics there are so many intangible factors. ESPN Data; ESPN Metrics; ESPN Ratings; ESPN Scoreboard; ESPN PBP; Articles Vignettes; Introductory; CFB Analytics with cfbfastR; Animated Win Probability Plots; Fourth Down Tendency Plots; Rolling EPA Graphs; Visualizing Team Talent with Player Recruit Rankings; Intro to Visualizing Recruiting Geography; Expected Points Model Fundamentals; Part. The win probability model takes all notions of streakiness out of the equation. One strategy would be choosing the team with the highest probability to win a game each week, disregarding future game probabilities; this is known as the greedy method. That number, which is impacted pitch-by-pitch during a game, is integrated into our baseball Gamecast application on ESPN. ESPN has a probability winning percentage in which what team has more of a probability of winning the game. I promised to blog about this case study I developed for my probability models course. Ten percent is huge for a 16-1,” she said. In two-way parlay betting, the probability that an unskilled player using random guessing will obtain k wins in n bets has a binomial distribution, X, with parameters n, ¼. For both discrete and continuous random variables we will discuss the following In general, if X and Y are two random variables, the probability distribution that denes their si-multaneous behavior is called a joint. Each game state is simulated 10,000 times to estimate win probability. Since I have a binary outcome in my linear proability model I can interpret the coefficients (i. Tuning an In-Game Win Probability Model Using xgboost. There are two approaches to the study of probability theory. Exponential distribution models the interval of time between the calls. Comparison of default probability models: russian experience. Therefore, we expect TQR variable to be positively correlated with the probability of winning. A team winning by 3 touchdowns at half is historically an almost sure pick. probability interpretation model linear logarithm. , probability laws) used for solving probability problems. 222ESPN includes win probability graphs in its match reports for basketball (e. Journal of Quantitative Analysis in Sports, 10 (2), 197–206. 86, for international readers), while their counterpart with a win probability of 46. 6% (up from 51. Many of the plays were. Like team A is up a certain amount of points and time remaining they’ll have a certain. Let us take a quick look at its intuition. Probability theory, a branch of mathematics concerned with the analysis of random phenomena. ESPN’s model is based on 10 years-worth of NFL play-by-play game data, which is a lot of plays. Projected running record: 11-1 List Big Ten bowl projections, College Football Playoff predictions after Week 6. And I really want to start all of this from scratch because I want to win my office pool?. Thus, my win probability model is really a sequence of 280 logistic regressions- one for each ten second interval between 1-40 minutes remaining Now let's compare some example charts my model generates compared to those of FiveThirtyEight and ESPN. Details: With the update, my comments regarding the ESPN model being too reactive no longer apply. The model takes as an input the probability that each player would win a single point if serving, and then constructs a tree of match outcomes using this probability to. The Colts could have clinched a playoff spot with a victory over Las Vegas, but they lost 23-20. A first-quarter TD which creates a 7-0 score probably moves the scoring team's win probability to about 60%. Modeling the chances of the big numbers can be important to getting the win probabilities correct, especially late in the final round. Team Stats. In-game win probability is a statistical metric that provides a sports team's likelihood of winning at any given point in a game, based on the performance of historical teams in the same situation. Then in simulating the tournament, the model rolls a 100-sided die with each team probability of a win representing one side of that die. Click a team name to proceed to the team playoff picture page. The exact model Burke developed is proprietary, now owned by ESPN. A few weeks ago, we started tweeting out the post-game win probability plots for every FBS college football game. 75 seconds). I have chosen two charts for some of the. Win probability is based on a model built on actual outcomes of NFL games from recent seasons that featured similar circumstances. Picks For Every Big Week 17 Nfl Game Picks To Win Best Bets More Cbs Sports Hq. I was perusing ESPN and stumbled upon this gem. Maksim Horowitz, Samuel Ventura and Ronald Yurko developed a win probability model (and the wonderful nflscrapR package that was used to load in the play by play data used in this analysis) that uses a multinomial logistic regression to evaluate the value of field position and a Generalized Additive Model (GAM) to output a win probability. Part 1: Sections 5. A team that wins with a probability of 53. Open an account. The winner advances, and the same process repeats for every game. Along with outcomes of each play, their model has four major components: win probability, expected points, division of credit, and a \clutch" index. 16 Gardner-Webb a nearly 10-percent chance of victory. The probability of it occurring can range anywhere from just above 0 percent to just below 100 percent. It must be in accordance with a fundamental framework that we discuss in this section. What is probabilistic modeling, and how can it be used to boost your campaign performance measurement? Find out in our mobile marketing glossary. Tweets by CFB_Data. The videos in Part I introduce the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of The textbook for this subject is Bertsekas, Dimitri, and John Tsitsiklis. We then outline a model from which we obtain the in-game posterior win probability. I took a random game from bet365. NFL Expert Picks - Week 16 Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week 10 Week 11 Week 12 Week 13 Week 14 Week 15 Week 16 hidden MIA at NO Mon 8:15PM. ESPN's win probability model didn’t like Morris' decision, either. Pro Football Reference Win Probability Convert! free convert online with more formats like file › Get more: Nfl game win probabilityDetail Convert. Some models—Lock and Nettleton (2014), seemingly ESPN—draw upon ensemble learning methods that. Each stage she plays will be equally likely to result in her either winning or losing 1 unit, with the results from each stage being independent. Find ratings and reviews for the newest movie and TV shows. Expected Points Added - Total expected points added with low leverage plays, according to ESPN Win Probability model. ADVANCED ALGEBRA. Intuition tells us that at any given moment during a game, some of the greatest factors influencing the outcome include: the amount First, rather than modeling the outcome at each time interval, we're instead trying to predict the probability of each team scoring a goal in each of the. In-game win probability models provide the likelihood that a certain team will win a game given the current state of the game. Here's how the ESPN win probability model assessed the decision, per ESPN's Mike Reiss Analytics aren't the only tool that should be used when making these kinds of game-altering decisions, but choosing the path with the highest probability of success is often a good way to go. Introduction to probability models / Sheldon M. com's coverage of MLB games 5 or 6 years ago; with each pitch they would adjust Anyway, using this model, our intention is to live log a selection of games so that as you are watching them, the win odds chart will update automatically and in real-time. The art of estimating win probability involves choosing which pieces of context matter. But linear models still have some attractions. Comparison to common heuristics - Team ESPN will compare the chosen solution against other common strategies. The corrected numbers (with updates through 2/10/18) can be found in this tweet. Below is a win probability chart for the Denver Broncos' win over the New England Patriots in the AFC Championship. About 258 results (0. Numerous papers dedicated to the probability of default model (PD model) creation studied circumstances associated with recessions in developed countries, not in transitional ones. Chapter 5: JOINT PROBABILITY DISTRIBUTIONS. ESPN has a proprietary expected points metric, but does not detail the specifics of how it is calculated (Pattani, 2012). Last year, I tweeted about a win probability model I created for soccer (or football, depending on where you are from) and the 2019 FIFA Women's World Cup case study. Win probability is a statistical tool which suggests a sports team's chances of winning at any given point in a game, based on the performance of historical teams in the same situation. The Exponential Model estimates the winning probability of each team by modeling the time between a team's successive winnings in a round as an exponential random variable. 5% chance of. Become a patron. Patreon Widget. Model Win Probability using Logistic Regression. But win probabilities models can still be useful. ISBN 978--321-50046-5 1. Yes, a model with varying coefficients would make sense. Welcome to Tournament Challenge Second Chance, the game that gives you another go at the men's bracket, starting with the Sweet 16 games. If you were to plug in a Tom Brady factor, you'd also have to plug in things like the Falcons defense. Moreover, when I have the log of an independent variable, I also talk about percent increase instead. Each player has his own set of probabilities for each hole based on his OWGR-converted score relative to the rest of the field. The probabilities of success and failure need not be equally likely, like the result of a fight between me and Undertaker. The reason they include NAs is because for every first game of the season, there is no number of "rest days" (unless we used preseason. February 11, 2018 update: The Brier score chart at the bottom of this post had an incorrect value for the ESPN "Start of Game" score. Probability and Statistics for Engineers and Scientist - 9th Edition (by Walpole, Mayers, Ye). 8% WP punt: 47. Like team A is up a certain amount of points and I can say you that they are calculated by algorithmic machines models as opposed to static mathematical formulas. We then train an LSTM on the data, feeding the points of a given match as the sequential data. DeGroot, Mark J. For each event E of Consider player i. For example, we have an MLB win probability model from Elias. This chart also supports the notion that the ESPN win probability model is in fact too reactive early on in the game. The Win Probabilities right now are really good. Over $1 MILLION in ESPN games up for grabs! Want more chances to win? Check out these ESPN games (and play against the StreakMasters in every game!): - Capital One Bowl Mania: $1M for a perfect score! (Join all 3 ESPN Streak groups: Standard, Spread and Confidence) - Monday Night Pick'em: $180,000 in prizes!. ESPN's win probability model hated the Jets decision to kick on 4th-and-goal from the 1-yard line inside with 1:49 left and up two points. Com- pared to expected points models, there is considerably more literature on different methodologies for estimating the win probability of a play in football. I'm not convinced any of those exist in any systematic manner, but it's tough to settle the question. Win Probability 100%. Win probability added (WPA) is a sport statistic which attempts to measure a player's The win probability for a specific situation in baseball FiveThirtyEight's MLB forecast uses a pitcher-adjusted Elo model to project the winner of every game and the chances that each team will win the World. in a linear probability model are always heteroskedastic. model_train: Estimate win probability model using Armchair Analysis nyt_fg_model: Sub in simple logit for field goal success rates. ESPN’S BPI takes into account the relative strength of the two teams and the location of the game to generate one team’s probability of a win. This lesson describes three rules of probability (i. Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. For example, last week, ESPN released its playoff projections for the 22 teams heading to Orlando using a predictive version of their real plus-minus, and the Kings only have a 14. The majority of the chapters of this book will be concerned with different probability models of natural phenomena. The model indicates that there is a positive relation between the payment-to-income ratio and the probability of a denied mortgage application so individuals with a high ratio of loan payments to income are more likely to be rejected. Wrote a GUI to graph the confidence intervals, allow user interaction to follow the flow of the game. Prediction of the in-game win probabilities has been investigated in other major sports, such as basketball, football, and hockey. Get personalized recommendations, and learn where to watch across hundreds of streaming providers. The Redskins are going to have to win some games on the road, and this is a winnable one they need to get. ESPN's win probability model agreed, narrowly, with the Bills' decision to go for it on 4th-and-1 from the 3-yard line with 22 seconds remaining. This lesson covers some important rules that. The NBA has a large 11-game slate tonight, which is a perfect opportunity to use Awesemo OddsShopper to build some of the best NBA parlay picks today. It was Atlanta's 3rd loss this season with a win probability of at least 98%, the most by a team in the last 20 seasons. Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. Expect to also see TikTok providing enhanced options for custom branded hashtag. Probability of Win: Mystery and Magic - Shipley Windows. Win probability models are useful for a variety of reasons; NFL teams can consult them to determine whether or not to make certain decisions, like whether punting or going for it on fourth down is more likely to The Falcons had a win probability as high as 98. A win probability from any scoreline communicates how much a team or player is favored to win. Our mission is to serve fans across every ESPN platform with the fastest, most accurate and insightful statistics, scores, news and analysis. Browns Vs Steelers Pre Game Join The Conversation Watch The Game On Espn. With Applications to Multiple Imputation. The model consists of distributions that are specied via FDA methods. I'd play around with the data, graph some estimates based on different timesteps, and then But the most efficient way to get there is to model the score differential and then map that back to win probabilities. Patriots 34, Falcons 28 (OT) ESPN Stats & Information. 4% chance to win by going for it, but it would have given them a 71. See full list on espn. Turkey vs Ukraine hwin, draw, awin 2. Every sport has its own. and start with a generous cash bonus. These probabilities reflect the actual point frequency for all possessions from the pre-Covid 2019-20 NBA season. By John Dixon @Arrowheadphones Sep 6, 2021. Using the baseline bet of $110 for every bet made (since a bet must be $110 to win $100 at -110 odds), and assuming a bet is placed for the under every time the model predicts the probability of the over winning below 45%, a single bettor would make a profit of $3,350 on the test set sample. Win probability: 39 percent. All you have to do is select which teams you think will win each of the 15 remaining tournament games that take place from March 27 on. "The win probability graphic/discussion on ESPN is literally taking a sword and sticking it through the chest of any fun left in baseball". And its Q2 Brier score is only just as good as the pre-game number. Now that we have our ratings we can compute the probability a team will win against another team, simulate the games 1,000 times and see how many wins each team comes. Something weird about their model. There are 3 possible outcomes, home win, draw, away win. Their probability assessment doesn't add up to 100%, they take. Consider an experiment whose sample space is S. Based on the fact that randomness or uncertainty plays a role in predicting outcomes, predictive modeling is used in a wide variety of fields. Quarterback Jameis Winston continues to try to live up to the potential that made him a No. ESPN also boasts a win probability model. The outcome of a random event cannot be determined before it occurs, but it may be any one of several possible outcomes. Maksim Horowitz, Samuel Ventura, & Yurko, R. Nate Silver and FiveThirtyEight does the best political modeling around, and his projections were less. That same score late in the fourth moves it closer to 90% or 95%, depending on time remaining, timeouts, etc. I know that the linear probability model is essentially an OLS regression with a binary dependent variable, however, I am unsure how to estimate a model with the overall gender I've seen models where gender of firstborn predicts likelihood of divorce, but not where it predicts likelihood of marriage. StatRdays: The Easiest Model You’ll Ever Make →. 2%, and the win probability of going for it at 34. In contrast, they have received. “Virginia is going to try to. The aim of this work is to create a win probability model that improves upon shortcomings in existing models. After some slight modifications to the model and additions such as a home field advantage modifier, the model was ran on every game in the CFB Playoff Era to date (2014-Present). Linear models can be useful for binary outcomes. In a card game with my friend, I pay a certain amount of money each time I lose. Cynthia Frelund's mathematical model projects the final scores, win probability, and cover probability for every NFL game in Week 18 of the 2021 season. Probability of Default model using equity prices. Clearly, in order to master both the "model building" and. ESPN’s Basketball Power Index is a predictive model for team strength based on performance factors. (Note: It can't be exactly 100 percent, because then it would be a certainty, not a risk. Hypotheses TQRg: The higher the TQR score, the higher the probability that a team would win a game. ESPN Win Probability for the Padres-Dodgers Marathon. I won't ruin it for anyone, but it basically lets you pick a team and see what their probability of making the CFP is based on the outcome of their season + Conference Championship (or lack of). 2%) All-Time Series: Michigan leads 58-51-6. run_bot: Calculate the expected win probability for a given game simulate_scenarios: Simulate game state after each possible outcome. Meet Colin Davy, the Action Network data scientist who built the win probability model, and read about his path to the company. If you buy one ticket, let's analyze what happens to G, the amount you gain. So if you really just # Be nice to the ESPN CDN by storing team logo images locally. In-game win-probability models have been extensively studied in baseball, basketball and American football. Win probability models tend to get the most attention when they are "wrong". You can see this in the win probability studies, like in the The Hidden Game of Football. One is heuristic and nonrigorous, and attempts to develop in students an intuitive feel for the subject that. In-Game Win Probability for Super Bowl LI (ESPN. The exact same issue comes up in. That won't necessarily make it foolproof, as it all, essentially, comes down to your creative, but TikTok will look to facilitate trend jacking as much as it can via automated means, and/or through creator partnerships. But for ESPN, the Brier score actually goes up in the first quarter, compared to the pre-game Brier score. But how do you best use market based signals? The Merton model is actually a variation of the Black Scholes model. The PLT Win Probability Engine did not award the advantage to the Atlas until Cloutier’s eventual game-winning goal. 3% would be. › Get more: Win probability calculator nflDetail Drivers. Includes bibliographical references and index. Judging Win Probability Models - inpredictable. espn win probability calculator | Use our converter online, fast and completely free. A probabilistic model is a mathematical description of an uncertain situation. It uses a weekly win probability to map it all out. Then the probability of winning drops away after a score since the other team has the ball and is nflfastR includes its own win prediction model which is more accurate than mine. Buckeyes Win Probability: 57. Oklahoma Basketball: ESPN BPI Win probability for OU's 1st. “Virginia does look like the most vulnerable 1. Details: Cynthia Frelund's mathematical model projects the final scores, win › Get more: WindowsDetail Windows. ESPN's win probability model disagreed with Urban Meyer's decision to attempt a field goal on 4th-and-goal from the 3-yard line in the fourth quarter. 1s to be upset, with their models giving No. Intuitively, this species the "likelihood" of any outcome. The P-F-R Win Probability Model Pro-Football … › Get more: Espn win probability calculatorDetail Convert. Discover Next Gen Stats News, Charts, and Statistics. While one can produce this from any model of choice, those in. Like team A is up a certain amount of What is probability win? How do you calculate probability in sports? How can I know the winning team by odds? How does Google match. 4 Introduction to Probability Models. The Live Win Probability model calculates the probability of each outcome occurring by simulating the remainder of the match 100,000 times. This video introduces the concept of the linear probability model, and explains the intuition behind the theory. NBA-Win-Probability-Model's Introduction. , & Nettleton, D. win probabilities to act as an anchor. Belichick's decision was supported by ESPN's win probability model, which forecast the win probability of the field goal attempt at 42. How Our NFL Predictions Work. ESPN win percentage probability by game. 8% would be represented at fair odds of -116 (1. They were a nice addition to our Saturdays, but there were some issues. How the model works. According to the formula, there's no patches of good or bad play, no dips in motivation, so extra energy to finish off a set, etc. kranendonk, r Probability is concerned with anticipating the future, with the hope of dis-covering models that for the winning prize. Burke (2009) and ESPN provide an intuitive explanation for what expected points means, however they do not go into the details of the calculations. ESPN's Total Quarterback Rating (Total QBR), which was released in 2011, has never claimed to be perfect In essence, the QBR metric is very close to the observed win rate. We're now ready to build our prediction model. Probability Models. 35/100 increase in the probability of Y=1. com gift card. Cynthia Frelund's mathematical model projects the final scores, win probability, and cover probability for every NFL game in Week I thin ESPN win probability is broken, so I made this quick video to complain about it. These models serve as a tool to enhance the fan experience, evaluate in game-decision making and measure the risk-reward balance for coaching decisions. 7%, per ESPN's win probability model. I win `$4` if I draw a jack or a queen and I win `$5` if I draw a king. Second, win probability models can improve the fan experience by telling the story of a game. At halftime, with the Chiefs up 31-10, it calculated that they had a 96. As explained in Sports Economics (Berri), complex invasion win probability models are incredibly hard to produce, so The second issue that is shown in win probability research is the uncertainty that the models have, as expected in sports, sometimes underdogs win when all the odds seem. * You can also test out your skills by picking all the NCAA tournament games and more via the ESPN Streak game, where you can compete for $5,000 in guaranteed prizes each. I got an A in College Algebra but I'm pretty. of a quarterback. Then, to complete the probabilistic model, we must introduce a probability law. The Exponential Model estimates a zero probability for events that have not occurred in the training data set. All future unplayed games are assumed won/lost with a probability based upon relative team strengths. Just like the original Tournament Challenge game, you will earn points. CollegeFootballData. The model probabilities update in real time as the action unfolds on the pitch, providing fans with a live insight into the likely outcomes of the match. Probability and statistics / Morris H. 1% Needed to have a 51% chance of conversion to justify. Includes random variables, probability distribution functions wih relationship to probability and expected value; variance and standard deviation. Using the binomial model, the probability that someone will get a high number of wins in repeated play can be determined, with a formula of the form P(X. Probability will be most useful when applied to a real experiment in which the outcome is not known in advance, but there are many hypothetical. ESPN's win probability model agreed with Dan Campbell's decision to go for it on 4th-and-1 on their own 28 with 4:08 remaining (that the Lions failed to convert). 5% WP kick: 83. So for investment of 100 $ on given result, you either loose 100 $ or win: 220 $, 340 $ or 320 $. Register for a free API key. A description of ESPN's methods was not listed on its site, but in 2017 Michael Lopez, then an assistant professor at Skidmore College, now the NFL's Director of Data and Analytics, described the model as "derived from an ensemble of machine learning models. 7% chance with a field goal attempt. 4% chance to win. According to. Win Probability. David "The Brain" Borne and Jamie "Landshark" Langridge waged battle inside a 2 days ago · NBA Odds are determined by. It gave the Falcons a 67. ESPN’s FPI gives the Chiefs the best chance to win Super Bowl LVI On Monday, the network released the first look at its NFL statistical model for 2021. Cleveland Cavaliers 26. cache_logo_image <- function(logo). | s3://commoncrawl/crawl-data/CC-MAIN-2022-21/segments/1652662521041.0/warc/CC-MAIN-20220518021247-20220518051247-00134.warc.gz | CC-MAIN-2022-21 | 33,683 | 2 |
https://sourceware.org/legacy-ml/gdb/2007-06/msg00101.html | math | This is the mail archive of the
mailing list for the GDB project.
backtrace shows ?? instead of function names in gdb
- From: "Saurabh Thukral" <saurabhth at gmail dot com>
- To: gdb at sourceware dot org
- Date: Wed, 13 Jun 2007 14:32:23 +0530
- Subject: backtrace shows ?? instead of function names in gdb
While debugging a core file produced by a program, I found the
#0 0x0000000000000000 in ?? ()
#1 0x000000010009e4c0 in stMesg ()
#2 0x000000010009e380 in stMhandler ()
#3 0x000000010088351c in stSchedule ()
#4 0x000000010087bd5c in stRun()
#5 0x000000010008c030 in main ()
I am unable to understand the reason for gdb displaying ??() in frame
#0 instead of a valid function name.
System: SunOS 5.10 64 bit
gdb version 5.3. This problem is encountered in gdb
version 6.1 also.
I tried to find a post related to this problem and came across the
http://sourceware.org/ml/gdb/2007-03/msg00167.html. The reason that
was posted is reproduced below:
Because GDB could not figure out what came next. The library might be
too optimized and stripped, or the stack might be corrupt, or GDB
might have a bug, or some other operating system specific problem.
I have a few queries
1. What is the meaning of too optimized ? Should we avoid compiling
with highest level of optimisation - in that case we will be forgoing
2. Please suggest a solution by which such backtraces can be avoided ? | s3://commoncrawl/crawl-data/CC-MAIN-2021-31/segments/1627046149929.88/warc/CC-MAIN-20210723143921-20210723173921-00000.warc.gz | CC-MAIN-2021-31 | 1,383 | 29 |
https://kavobusatul763.tk/nr/hzr/c4ef072e2eedf21f964e23da458222a6fb234.asp | math | In this lesson you will learn how to round decimals to the nearest tenth by using a number line. To the nearest tenth. Created by sal khan and monterey institute for technology and education.
Rounds each element of x to the nearest integer. In the case of a tie, where an element has a fractional part of exactly 0. 5, the round function rounds away from zero to the integer with larger magnitude. _____ answer key rounding decimals to the nearest tenth round each decimal number to the nearest tenth.
How do you round a decimal to the nearest tenth. I mentally circle the tenths digit. The first digit after the period. Algebra on khan academy. No way, basic concept of rounding decimal numbers to nearest tenths.
Rounds a value to the nearest integer or specified number of decimal places. To round a number to the nearest tenth decimal, the number you start with must be as precise as the. Decimal place, which is the third number after the decimal point. For example, you can. T round 8 to a tenth decimal place, or 7. 5, but you can round out 8.
In order to round to the nearest tenth, we need to know where the tenths place is. Here is a visual look at place value. The tenths place is to the right of the decimal point. Our rounded answer will stop at the tenths place. We use the hundredths place to help us determine the value that needs to be in the tenths place. Award winning educational materials like worksheets, games, lesson plans and activities designed to help kids succeed.
To round to the nearest tenth of a percent, a person must reduce two or more decimal points to one decimal point. For instance, a percentage of is. Round numbers to thousands, hundreds, tens, ones, tenths, hundredths and thousandths. Online calculator for rounding numbers. How to round numbers and.
Rounding to the nearest tenth. When you are rounding a number to the nearest tenth, you are trying to find out which tenth of a number your number is closest to. An interactive math lesson about rounding decimals to the nearest tenth. | s3://commoncrawl/crawl-data/CC-MAIN-2019-13/segments/1552912204790.78/warc/CC-MAIN-20190326034712-20190326060712-00517.warc.gz | CC-MAIN-2019-13 | 2,027 | 7 |
http://iembra.org/confidence-interval/compute-population-mean-margin-error-95-confidence-interval.php | math | Compute Population Mean Margin Error 95 Confidence Interval
Your email Submit RELATED ARTICLES How to Calculate the Margin of Error for a Sample… Statistics Essentials For Dummies Statistics For Dummies, 2nd Edition SPSS Statistics for Dummies, 3rd Edition Statistics Lesson 11: Hypothesis Testing Lesson 12: Significance Testing Caveats & Ethics of Experiments Reviewing for Lessons 10 to 12 Resources References Help and Support Links! Popular Articles 1. If you're seeing this message, it means we're having trouble loading external resources for Khan Academy. http://iembra.org/confidence-interval/compute-population-mean-margin-error-99-confidence-interval.php
MadonnaUSI 48,618 views 9:42 Margin of Error Sample Size TI-83+ - Duration: 11:16. The critical value is either a t-score or a z-score. statistic) will fall within the interval estimates (i.e. 4.88 and 5.26) 98% of the time. Rating is available when the video has been rented.
Calculate Margin Of Error With 95 Confidence Interval
You can also use a graphing calculator or standard statistical tables (found in the appendix of most introductory statistics texts). Please try again later. ProfessorSerna 164,245 views 27:18 How to calculate t distributions - Duration: 5:47. drenniemath 36,919 views 11:04 Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion - Duration: 2:24:10.
- In other words, the range of likely values for the average weight of all large cones made for the day is estimated (with 95% confidence) to be between 10.30 - 0.17
- How to Calculate Margin of Error (video) What is a Margin of Error?
- Thus, the term is called the margin of error with confidence level .
Solution The correct answer is (B). Find a Critical Value 7. jbstatistics 80,684 views 6:42 Confidence interval example | Inferential statistics | Probability and Statistics | Khan Academy - Duration: 18:36. What Is The Critical Value For A 95 Confidence Interval Example 10.4 The equatorial radius of the planet Jupiter is measured 40 times independently by a process that is practically free of bias.
Find the critical value. Margin Of Error Formula 95 Confidence Interval Stomp On Step 1 93,730 views 7:21 How to calculate margin of error and standard deviation - Duration: 6:42. Transcript The interactive transcript could not be loaded. Loading...
These measurements average \(\bar x\) = 71492 kilometers with a standard deviation of s = 28 kilometers. Margin Of Error Formula Statistics How to Compute the Margin of Error The margin of error can be defined by either of the following equations. What's the margin of error? (Assume you want a 95% level of confidence.) It's calculated this way: So to report these results, you say that based on the sample of 50 Therefore, tα∕2 is given by qt(.975, df=n-1).
Margin Of Error Formula 95 Confidence Interval
Tip: You can use the t-distribution calculator on this site to find the t-score and the variance and standard deviation calculator will calculate the standard deviation from a sample. http://www.r-tutor.com/elementary-statistics/interval-estimation/interval-estimate-population-mean-unknown-variance Expected Value 9. Calculate Margin Of Error With 95 Confidence Interval Difference Between a Statistic and a Parameter 3. Find The Margin Of Error For A 95 Confidence Interval Compute alpha (α): α = 1 - (confidence level / 100) = 1 - 0.95 = 0.05 Find the critical probability (p*): p* = 1 - α/2 = 1 - 0.05/2
Find the degrees of freedom (DF). check over here The new employees appear to be giving out too much ice cream (although the customers probably aren't too offended). With n = 40, using the multiplier number from the normal curve for 90% confidence (z*=1.645) will work pretty well so our confidence interval would be:71492 km ± 1.645(4.4 km) or Notice in this example, the units are ounces, not percentages! Construct And Interpret A 95 Confidence Interval
A margin of error tells you how many percentage points your results will differ from the real population value. where t is a critical value determined from the tn-1 distribution in such a way that there is area between t and -t. Compute alpha (α): α = 1 - (confidence level / 100) Find the critical probability (p*): p* = 1 - α/2 To express the critical value as a z score, find his comment is here z*-Values for Selected (Percentage) Confidence Levels Percentage Confidence z*-Value 80 1.28 90 1.645 95 1.96 98 2.33 99 2.58 Note that these values are taken from the standard normal (Z-) distribution.
The chart shows only the confidence percentages most commonly used. Margin Of Error Calculator Step 3: Multiply the critical value from Step 1 by the standard deviation or standard error from Step 2. How to Calculate Margin of Error in Easy Steps was last modified: March 22nd, 2016 by Andale By Andale | August 24, 2013 | Hypothesis Testing | 2 Comments | ←
Generated Wed, 05 Oct 2016 14:53:02 GMT by s_bd40 (squid/3.5.20) The confidence interval is between 171.04 and 173.72 centimeters. To generalize, misses by less than with certainty. Margin Of Error Confidence Interval Calculator However, for sample size calculations (see next section), the approximate critical value 2.0 is typically used.
For these sampled households, the average amount spent was \(\bar x\) = \$95 with a standard deviation of s = \$185.How close will the sample average come to the population mean? Brian Stonelake 28,786 views 11:16 Understanding Confidence Intervals: Statistics Help - Duration: 4:03. Welcome to STAT 100! weblink Let's say the poll was repeated using the same techniques.
Statisticshowto.com Apply for $2000 in Scholarship Money As part of our commitment to education, we're giving away $2000 in scholarships to StatisticsHowTo.com visitors. Sign in Transcript Statistics 154,288 views 783 Like this video? The margin of error is the range of values below and above the sample statistic in a confidence interval. To express the critical value as a t statistic, follow these steps.
AP Statistics Tutorial Exploring Data ▸ The basics ▾ Variables ▾ Population vs sample ▾ Central tendency ▾ Variability ▾ Position ▸ Charts and graphs ▾ Patterns in data ▾ Dotplots Show more Language: English Content location: United States Restricted Mode: Off History Help Loading... When the sampling distribution is nearly normal, the critical value can be expressed as a t score or as a z score. Example: Given the following GPA for 6 students: 2.80, 3.20, 3.75, 3.10, 2.95, 3.40 a.
Sign in to make your opinion count. Easy! Confidence intervals (one sample)Estimating a population proportionConfidence interval exampleMargin of error 1Margin of error 2Next tutorialEstimating a population meanCurrent time:0:00Total duration:15:020 energy pointsStatistics and probability|Confidence intervals (one sample)|Estimating a population proportionMargin statisticsfun 126,125 views 5:47 Margin of Error - Duration: 6:17.
from a poll or survey). How to Find the Critical Value The critical value is a factor used to compute the margin of error. The system returned: (22) Invalid argument The remote host or network may be down. Up next How to calculate Margin of Error Confidence Interval for a population proportion - Duration: 8:04.
If the confidence level is kept at 95% but the sample size is quadrupled to n=24 (i) do you expect the sample mean to increase, decrease, or remain approximately the same? | s3://commoncrawl/crawl-data/CC-MAIN-2021-25/segments/1623487622234.42/warc/CC-MAIN-20210616063154-20210616093154-00600.warc.gz | CC-MAIN-2021-25 | 7,425 | 23 |
https://www.coursehero.com/sitemap/schools/77425-Ho-Chi-Minh-City-International-University/departments/473903-COPORATE-F/ | math | Question 1 - 87234
The two major types of risk affecting a firm are:
A) financial risk and cash flow risk.
B) business risk and financial risk.
C) business risk and collection risk.
The correct answer was B) business risk and financial risk.
Question 1 - 97303
Pacific, Inc.s financial information includes the following, with change referring to the difference from
the prior year (in $ millions):
Change in Accounts Receivable
Change in Accounts Payable
Change in Inventory
1. Direct and indirect methods of presenting cash from operating activities.
1.1 Direct method
Cash receipts - cash payments = operating cash flow
Ignore depreciation expense, it is noncash charge
1.2 Indirect method
Step 1: Begin with net income
Question 1 - #97490
Your answer: A was correct!
As discount rates change the net present values change. The NPV profile is a graphic illustration of how
sensitive net present values are to different discount rates. By comparison, every project has a singl
Question 1 - 97490
The NPV profile is a graphical representation of the change in net present value relative to a change in
A) discount rate.
B) prime rate.
C) internal rate of return.
Question 2 - 98212
The most accurate way to account for flotation | s3://commoncrawl/crawl-data/CC-MAIN-2017-26/segments/1498128320323.17/warc/CC-MAIN-20170624184733-20170624204733-00080.warc.gz | CC-MAIN-2017-26 | 1,229 | 29 |
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/3024/0000/Motion-estimation-method-using-multiple-linear-regression-model/10.1117/12.263272.short | math | Given the small bit allocation for motion information in very low bit-rate coding, motion estimation using the block matching algorithm (BMA) fails to maintain an acceptable level of prediction errors. The reason is that the motion model, or spatial transformation, assumed in block matching cannot approximate the motion in the real world precisely with a small number of parameters. In order to overcome the drawback of the conventional block matching algorithm, several triangle-based methods which utilize triangular patches instead of blocks have been proposed. To estimate the motions of image sequences, these methods usually have been based on the combination of optical flow equation, affine transform, and iteration. But the computational cost of these methods is expensive. This paper presents a fast motion estimation algorithm suing a multiple linear regression model to solve the defects of the BMA and the triangle-based methods. After describing the basic 2D triangle-based method, the details of the proposed multiple linear regression model are presented along with the motion estimation results from one standard video sequence, representative of MPEG-4 class A data. The simulation results show that in the proposed method, the average PSNR is improved about 1.24 dB in comparison with the BMA method, and the computational cost is reduced about 40 percent in comparison with the 2D triangle-based method. | s3://commoncrawl/crawl-data/CC-MAIN-2018-26/segments/1529267864256.26/warc/CC-MAIN-20180621172638-20180621192638-00506.warc.gz | CC-MAIN-2018-26 | 1,425 | 1 |
https://lackofgenius.com/bigfoot | math | Skip to the content
#1. When was the silverback gorilla first confirmed to exist?
#2. In the Salish language, what does the name "Sasquatch" mean?
#3. In which state was the first published photo of a Bigfoot track taken?
#4. True or False: the famous "Patterson-Gimlin" film of Bigfoot walking in the forest has been proven a hoax.
#5. How many US states have reported Bigfoot sightings?
#6. What is the name of the Bigfoot species commonly sighted in Florida?
#7. Which US president wrote about a Bigfoot encounter?
John F. Kennedy
#8. True or False: Primatologist Dr. Jane Goodall admits that Bigfoot could be real. | s3://commoncrawl/crawl-data/CC-MAIN-2022-40/segments/1664030337731.82/warc/CC-MAIN-20221006061224-20221006091224-00269.warc.gz | CC-MAIN-2022-40 | 618 | 10 |
https://typicalstudent.org/hot/students-life/13-droll-tweets-for-everyone-who-cant-move-on-from-their-ex | math | 2 years ago
For someone, moving on is difficult. Still, people on social media aren't sharing their wisdom in vain. The Typical Student team picked 13 hilarious tweets that will help you move on from your ex and finally be happy!
#1 Exes weekly meeting be like:
#2 "I'm not Whitney Huston!"
#3 A girlfriend who's worse than Hitler himself:
#4 Maybe, Satan knew something you didn't:
#5 That old trick:
#6 Best motivation ever:
#7 Now that is cruel:
#8 That Michael's craft store is such a ladies man!
#9 Getting back at ya whatever it takes:
#10 Moving on without actually moving on:
#11 Yet another trick to make use of:
#12 You've moved on but not moved on:
#13 That's how you feel in a nutshell:
Keep up with the Typical Student daily email | s3://commoncrawl/crawl-data/CC-MAIN-2022-21/segments/1652663019783.90/warc/CC-MAIN-20220528185151-20220528215151-00425.warc.gz | CC-MAIN-2022-21 | 743 | 16 |
https://brainmass.com/economics/regression/beta-using-regression-equation-39265 | math | Think about the risks inherent in your Ficticious Company and how to quantify these risks. Download the data provided and calculate the measure of risk for this company (defined as Beta in the Capital Asset Pricing Model - CAPM) and explain why this calculation is a measure of risk. Discuss when this type of calculation is appropriate, and when the coefficient of variation is an appropriate measure of risk.
The following website might be helpful: Revisiting the Capital Asset Pricing Model http://www.stanford.edu/~wfsharpe/art/djam/djam.htm© BrainMass Inc. brainmass.com October 24, 2018, 6:23 pm ad1c9bdddf
See attached file for all the answers
Explain why beta is a measure of risk. Discuss when this type of calculatin is appropriate, and when the coefficient of variation is an appropriate measure of risk.
In finance risk is defined as the chance that something other than what is expected occurs?that is, variability of returns. When we examine how risky a single investment is by itself, we are examining stand-alone risk; when we examine how risky an investment is when it is combined in a portfolio with other investments, we are examining portfolio risk.
"Measuring Stand-Alone Risk: The Standard Deviation?measures the tightness, or variability, of a set of outcomes?that is, a probability distribution; the tighter the distribution, the less the variability of the outcomes, and the less risk associated with the event; as a result, standard deviation is a measure of risk for a single investment? that is an investment held by itself (alone).
Because standard deviation measures variation, which is associated with risk, we generally say that an investment with a lower standard deviation is considered less risky than an ...
The solution calculates beta using regression analysis for the data provided. It also discusses why beta is a measure of risk and when this type of calculatin is appropriate, and when the coefficient of variation is an appropriate measure of risk.
A life insurance company wishes to examine the relationship between the amount of life insurance held by a family and family income. From a random sample of 20 households, the company collected the data in the file insur.xls. The data are in thousands of dollars.
(a) Estimate a linear relationship between life insurance (Y) and income (X).
(b) Discuss the relationship you estimated in (a). In particular:
i. What is your estimate of the resulting change in the amount of life insurance when income increases by $1000?
ii. What is the standard error of the estimate in (i), and how do you use this standard error for interval estimation and hypothesis testing?
iii. One member of the management board claims that for every $1000 increase in income, the amount of life insurance held will go up by $5000. Choose an alternative hypothesis and explain your choice. Does your estimated relationship support this claim? Use a 5 percent significance level.
(c) Test the hypothesis that as income increases the amount of life insurance increase by the same amount. That is, test the hypothesis that the slope of the relationship is 1.
(d) Predict the amount of life insurance held by a family with an income of $100,000.View Full Posting Details | s3://commoncrawl/crawl-data/CC-MAIN-2018-47/segments/1542039743854.48/warc/CC-MAIN-20181117205946-20181117231946-00363.warc.gz | CC-MAIN-2018-47 | 3,233 | 16 |
https://www.simplyfreshers.com/tcs-placement-paper-psvpec-dec-2012/ | math | Company: Tata Consultancy Services (TCS)
1. In Madras, temperature at noon varies according to -t^2/2 + 8t + 3, where t is elapsed time. Find how much temperature more or less in 4pm to 9pm.
2. A person had to multiply two numbers. Instead of multiplying by 35, he multiplied by 53 and the product went up by 540. What was the raised product?
3. How many positive integer solutions does the equation 2x+3y = 100 have?
4 The total expense of a boarding house are partly fixed and partly variable with the number of boarders. The charge is Rs.70 per head when there are 25 boarders and Rs.60 when there are 50 boarders. Find the charge per head when there are 100 boarders.
5 Amal bought 5 pens, 7 pencils and 4 erasers. Rajan bought 6 pens, 8 erasers and 14 pencils for an amount which was half more than what Amal had paid. What % of the total amount paid by Amal was paid for pens?
d) None of these
6. lost Rs.68 in two races. My second race loss is Rs.6 more than the first race. My friend lost Rs.4 more than me in the second race. What is the amount lost by my friend in the second race?
7. Ten boxes are there. Each ball weighs 100 gms. One ball is weighing 90 gms.
i) If there are 3 balls (n=3) in each box, how many times will it take to find 90 gms ball?
ii) Same question with n=10
iii) Same question with n=9
(i) nC1= 3C1 =3 for 10 boxes .. 10*3=30
(ii) 10C1=10 for 10 boxes ….10*10=100
(iii)9C1=9 for 10 boxes …..10*9=90
8. (1-1/6) (1-1/7)…. (1- (1/ (n+4))) (1-(1/ (n+5))) = ?
leaving the first numerater and last denominater, all the numerater and denominater will cancelled out one another.
9. A face of the clock is divided into three parts. First part hours total is equal to the sum of the second and third part. What is the total of hours in the bigger part?
10. Low temperature at the night in a city is 1/3 more than 1/2 hinge as higher temperature in a day. Sum of the low temp and high temp is 100 c. then what is the low temp.
11. 2 oranges,3 bananas and 4 apples cost Rs.15. 3 ornages 2 bananas 1 apple costs Rs 10. what is the cost of 3 oranges, 3 bananas and 3 apples
12. A shopkeeper bought a watch for Rs.400 and sold it for Rs.500.What is his profit percentage?
13. Bhanu spends 30% of his income on petrol on scooter. ? of the remaining on house rent and the balance on food. If he spends Rs.300 on petrol then what is the expenditure on house rent?
14. A sporting goods store ordered an equal number of white and yellow balls. The tennis ball company delivered 45 extra white balls, making the ratio of white balls to yellow balls 1/5 : 1/6. How many white tennis balls did the store originally order for?
d)None of these
12. (1/2) of a number is 3 more than the (1/6) of the same number?
15.There are two water tanks A and B, A is much smaller than B. While water fills at the rate of 1 liter every hour in A, it gets filled up like, 10, 20, 40,80, 160..in tank B. (At the end of first hour, B has 10 liters, second hour it has 20 liters and so on). If tank B is 1/32 filled of the 21 hours, what is total duration of hours required to fill it completely?
16.Smita was making a cube with dimensions 5*5*5 using 1*1*1 cubes. What is the number of cubes needed to make a hollow cube looking of the same shape?
17. A lady has fine gloves and hats in her closet- 25blue, 7 red, and 9 yellow. The lights are out and it is totally dark. In spite of the darkness, she can make out the difference between a hat and a glove. She takes out an item out of the closet only if she is sure that if it is a glove. How many gloves must she take out to make sure she has a pair of each color?
18. A game is played between 2 players and one player is declared as winner. All the winners from first round are played in second round. All the winners from second round are played in third round and so on. If 8 rounds are played to declare only one player as winner, how many players are played in first round?
19. There is 7 friends (A1, A2, A3….A7).If A1 have to have shake with all without repeat. How many handshakes possible?
20. On planet korba, a solar blast has melted the ice caps on its equator. 9 years after the ice melts, tiny planetoids called echina start growing on the rocks. Echina grows in the form of circle, and the relationship between the diameter of this circle and the age of echina is given by the formula d = 4*√ (t-9) for t ≥ 9 where d represents the diameter in mm and t the number of years since the solar blast. Jagan recorded the radius of some echina at a particular spot as 7mm. How many years back did the solar blast occur? | s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233510214.81/warc/CC-MAIN-20230926143354-20230926173354-00388.warc.gz | CC-MAIN-2023-40 | 4,581 | 31 |
https://en.wikipedia.org/wiki/Irving_Segal | math | Irving Segal in Nice, 1970
September 13, 1918|
The Bronx, New York
December 24, 1998 (aged 80)|
|Alma mater||Yale University|
University of Chicago
|Doctoral advisor||Einar Hille|
John C. Baez|
Robert J. Blattner
J. Edward Nelson
Irving Ezra Segal (September 13, 1918 – August 30, 1998) was an American mathematician known for work on theoretical quantum mechanics. He shares credit for what is often referred to as the Segal–Shale–Weil representation.
Irving Ezra Segal was born in the Bronx in 1918 to Jewish parents. He attended school in Trenton. In 1934 was admitted to Princeton University at the age of 16. He was elected to Phi Beta Kappa, completed his undergraduate studies in just three years time, graduated with highest honors with a Bachelors in 1937, and was awarded the George B. Covington Prize in Mathematics. He was then admitted to Yale, and in another three years time had completed his doctorate, receiving his PhD in 1940. Segal taught at Harvard University, then he joined the Institute for Advanced Study in Princeton on a Guggenheim Memorial Fellowship, working from 1941–43 with Albert Einstein and Von Neumann. During World War II Segal served in the U.S. Army conducting research in ballistics at the Aberdeen Proving Ground in Maryland. He joined the mathematics department at the University of Chicago in 1948 where he served until 1960. In 1960 he joined the mathematics department at M.I.T. where he remained as a professor until his death in 1998. He won three Guggenheim Fellowships, in 1947, 1951 and 1967, and received the Humboldt Award in 1981. He was an Invited Speaker of the ICM in 1966 in Moscow and in 1970 in Nice. He was elected to the National Academy of Sciences in 1973.
Segal died in Lexington, Massachusetts in 1998. Edward Nelson's obituary article about Segal concludes: "...It is rare for a mathematician to produce a life work that at the time can be fully and confidently evaluated by no one, but the full impact of the work of Irving Ezra Segal will become known only to future generations."
- Decompositions of operator algebras, I and II. Memoirs of the American Mathematical Society, no. 9. 1951.
- Mathematical problems of relativistic physics. Lectures in Applied Mathematics, vol. 2. American Mathematical Soc. 1963; with an appendix by George W. Mackey
- with Ray Kunze: Integrals and operators. McGraw-Hill. 1968. Revised & enlarged 2nd edition. Grundlehren der mathematische Wissenschaften, vol. 228. Springer-Verlag; pbk reprint of 1978 2nd edition
- Mathematical cosmology and extragalactic astronomy. Pure and Applied Mathematics Series, Vol. 68. Acadmeic Press. 1976.
- with John C. Baez and Zhengfang Zhou: "Introduction to algebraic and constructive quantum field theory". Princeton University Press. 1992. 2014 reprint.
- with Nicoll, J.F., Wu, P., Zhou, Z. 1993, Statistically Efficient Testing of the Hubble and Lundmark Laws on IRAS Galaxy Samples, ApJ. 465-484
- with Zhou, Z. Oct. 1995, Maxwell’s Equations in the Einstein Universe and Chronometric Cosmology, ApJS. Ser. 100, 307-324
- Cosmic time dilation, 1997, ApJ. 482:L115-17
- Segal, I.E (1962), Lectures at the 1960 Boulder Summer Seminar
- Shale, D. (1962). "Linear symmetries of free boson fields". Trans. Amer. Math. Soc. 103: 149–167. doi:10.1090/s0002-9947-1962-0137504-6.
- Weil, A. (1964). "Sur certains groupes d'opérateurs unitaires". Acta Math. 111: 143–211. doi:10.1007/BF02391012.
- Kashiwara, M; Vergne, M. (1978). "On the Segal-Shale-Weil representation and harmonic polynomials". Inventiones Mathematicae. 44: 1–47. doi:10.1007/BF01389900.
- "Irving Ezra Segal - Biography". Retrieved May 20, 2013.
- Obituary in Americal Mathematical Society Notices
- Taub, A. H. (1977). "Review of Mathematical cosmology and extragalactic astronomy by Irving Ezra Segal". Bull. Amer. Math. Soc. 83: 705–711. doi:10.1090/S0002-9904-1977-14356-5.
- Kon, Mark A. (1993). "Review of Introduction to Algebraic and Constructive Quantum Field Theory by J. C. Baez, I. E. Segal, and Z. Zhou" (PDF). Physics Today. 46: 43. doi:10.1063/1.2809125.
- Segal, I.E (1962), Lectures at the 1960 Boulder Summer Seminar, AMS, Providence, RI
- Habermann, Katharina; Habermann, Lutz (2006), Introduction to Symplectic Dirac Operators, Springer-Verlag, ISBN 978-3-540-33420-0 | s3://commoncrawl/crawl-data/CC-MAIN-2018-43/segments/1539583512014.61/warc/CC-MAIN-20181018194005-20181018215505-00302.warc.gz | CC-MAIN-2018-43 | 4,309 | 31 |
https://forums.cabling-design.com/cisco/stp-election-when-does-it-end-30894-.htm | math | I'm reading a book that talks about STP.
They give a diagram of 3 switches that are competing for root bridge status. My question is when does the election end exactly? The book talks about the process of exchanging BPDU's with each switch advertising themselves as root bridge. Then after they realize their buddy next to them has a better a bridge ID they advertise him as the root bridge.
So now we have all three switches realizing one of them is root bridge. When does the election end exactly? After they receive 5 consecutive BPDU's stating that SW1(switch 1) is root bridge? Are their timers? It never mentions exactly how it ends. It just says SW1 wins!!! How did they decide SW1 wins? | s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233506669.30/warc/CC-MAIN-20230924191454-20230924221454-00804.warc.gz | CC-MAIN-2023-40 | 694 | 3 |
https://www.qimmah.org/guide-7- | math | The Math section of the SAT Reasoning test is arguably the most important one for STEM students. It is the section where you show you brilliance and talent in the language of science and engineering. Some of the finest STEM schools in the United States (like the ones you are applying to) have an SAT I Math range that starts somewhere in the 700s, which might become even higher when restricted to STEM departments. So what makes the difference between a student who can confidently get a 700+ and another who can’t? From my experience, the main difference is not the knowledge someone stores up in his or her head, in the end the test covers the math we all have finished by our 2nd year of high school, trust me on this one. The main difference lays in the way we deal with the test. The SAT Math test is heavily based on tricky questions that can force you to make the wrong choice under the influence of a miniscule slip in basic calculations or misinterpretation of the given information in the question. So the ideal way to approach the test is to be really prepared for these kinds of tricks College Board use frequently, they are extremely basic and you might not believe they can trick you, but this is basically the way to get tricked by them!
So this guide is basically a list of the most frequent basic error people make when filling the bubbles. I remind you, you will not believe some people make these mistakes, but you’ll probably not believe the number of people I know who fell to these tricks:
(x+y) is not x + y, it’s x +2xy+y
3 is not 9, it’s 27.
There is fundamental relation between the radius and the diameter of a circle: Diameter = 2 * Radius. Occasionally, you will be given a diameter in a question that requires the use of a radius (ex. Calculating area of a circle).
The sum of the measurements of angels in a triangle is 180 degrees. The most common errors in this regard is placing the number 190 instead of 180, and the number 80 instead of 90 (messure of right angle).
Get yourself familiarized with the special right triangles (30,60,90 and 90,45, 45) this will save
you a lot of time to use for the more conceptually challenging problems. Some people might end
up approaching triangle questions using the Law of Sines or the Law of Cosines. This is definitely
not necessary, even for non-right triangles. It will take much more time than needed. Don’t even
think about it. Remember, you can probably split a non-right triangle into two right triangles and
use the properties of similar triangles.
Now this point is especially important; you need to look for what the question asks for. This is
absolutely the most important advice I can give. To give you a sense of what I’m talking about,
the question might be stated so that you calculate x (say, a median of a set of numbers, or one
side of a triangle) but you’re asked to find x2 instead of x. this is a basic example, but it comes
in a variety of ways. And yes, there will be an answer among the choices that corresponds to the answer you were tricked into finding. The most effective way to overcome this trick is to, say, underline the givens and circle the required variable, just so you can make the distinction.
When it comes to diagrams, you need to actually know what a certain label is representing. Some diagrams can be tricky. For example, you are given a number of angle measurements in a certain shape and you are asked to find two more. You do your math and use your knowledge of geometry to find out the other two. The unknown you are asked to calculate, x, is not one of these angles, but rather the complementary angle of one of them. This is a basic example but you should know what I mean.
Eliminate answer choices! Some answer choices can be eliminated because they don’t
fit the criteria of the desired answer choice. For example, you might be asked to find x
or the absolute value of x, negative numbers don’t fit here! The length of one side of a triangle
is restricted to the values between the sum and the difference of the other two sides… and so
on, there are some basic facts that are often ignored while they shouldn’t be.
The area of a triangle is ONE HALF * HEIGHT * BASE, must people easily forget the
one half and come up with wrong answers.
If you are absolutely stuck in a question and need to make a guess by substituting answers
and see if they work, start with the middle value. Use logic to determine if you expect a larger
or smaller answer. This will help you eliminate answer choices and make a smarter guess.
I’ve seen a lot of people messing this up; if you were given two values, say -9 and -3, and the question asks for the smaller value, you might be tempted to mark your answer as -3, but according to the number line, it’s actually -9. Now obviously you’ll probably be presented with more than 2 numbers, and you’ll probably have to calculate them from other information in the question, but you should get the purpose of this point.
The trickiest part of the Math section of the SAT is, in my opinion, the statistics and data analysis part. If you are not used to the types of data tables you’ll be presented with in the test, it’ll become very easy to come up with wrong answers. They are easy to understand if you spend some time understanding them before the test.
The questions are of varying difficulty. But guess what, they don’t vary in value. Don’t spend a lot of
time on one question. If you feel like you didn’t get the idea from the first time you read it, just move
on and grab other points, and you’ll probably have time to return and think about it.
The test’ level of difficulty takes an ascending pattern; the further you get in the section, the harder the
questions. This leads to an important note: if you solve one of the last 3-5 question very quickly and
without using a lot of brain energy, you probably got it wrong. This is referred to as the ten-second rule.
The last and most important advice: PRACTICE. This is the only way to figure out your weak points
and identify the many, many tricks College Board use in their tests. Many books are helpful for the math
section, but I would personally recommend McGraw Hill’s SAT guide and Dr. John Chung’s SAT Math.
The latter is much harder than the actual test, but that’s essentially a good way to master the real SAT
Dealing with tricky questions on the SAT Math Section | s3://commoncrawl/crawl-data/CC-MAIN-2023-23/segments/1685224648245.63/warc/CC-MAIN-20230602003804-20230602033804-00442.warc.gz | CC-MAIN-2023-23 | 6,433 | 41 |
https://brainmass.com/business/business-management/simulation-coast-to-coast-airlines-114524 | math | Coast-to-Coast Airlines is investigating the possibility of reducing the cost of fuel purchases by taking advantage of lower fuel costs in certain cities. since fuel purchases represent a substantial portion of operating expenses for an airline, it is important that these costs be carefully monitored. however, fuel adds weight to an airplane, and consequently, excess fuel raises the cost of getting from one city to another. in evaluating one particular flight rotation, a plane begins in Atlanta, flies from atlanta to los angeles, from los angeles to houston, from houston to new orleans, and from new orleans to atlanta. when the plane arrives in atlanta, the flight rotation is said to have been completed, and then it starts again. thus, the fuel on board when the flight arrived in atlanta must be taken into consideration when the flight begins. along each leg of this route, there is a minimum and a maximum amount of fuel that may be carried. this and additional information is provided in the table on this page.
the regular fuel consumption is based on the plane carrying the minimum amount of fuel. if more than this is carried, the amount of fuel consumed is higher. specifically, for each 1,000 gallons of fuel above the minimum, 5% (or 50 gallons per 1,000 gallons of extra fuel) is lost due to excess fuel consumption. for example, if 25,000 gallons of fuel were on board when the plane takes off from atlanta, the fuel consumed on this route would be 12+0.05=12.05 thousand gallons. if 26 thousand gallons were on board, the fuel consumed would be increased by another 0.05 thousand, for a total of 12.1 thousand gallons.
Formal ate this as an LP problem to minimize the cost. how many gallons should be purchased in each city? what is the total cost of this?
Leg Minimum fuel maximum fuel regular fuel Fuel price
required (1,000 GAL.) allowed (1,000GAL.) consumption(1,000GAL.) per Gallon
Atlanta-LA 24 36 12 $1.15
LA-Houston 15 23 7 $1.25
Houston-NO 9 17 3 $1.10
NO-Atlanta 11 20 5 $1.18
What i need are followings..
1. definitions of decision variables.(in word)
2.Full formulations (outside printout)
include nonnegativity if appropriate
3.prints out- answers, sensitivity and limit pages (attach the actual prints out, do not retype)
4. yes/no comments on 4 assumptions. (one sentence. justification each)
5. using the numbers from the excel printout
a. explanation of a nonzero reduced cost
b. similarly, a nonzero marginal value (dual value)
c. similarly, a nonzero slack or surplus value
d. similarly, an objective coefficient range
e. similarly, a right hand side range
6. detailed recommendations for the airline.
Hint: 1.Define decision variables for the amount of fuel purchased at each of the four location.
2. you will probably need some additional decision variables also.
3. there are only two types of constraints (apart from nonnegativity). the first type enforces the minimum and maximum amount of fuel at each take-off. The second type models the use of fuel during each flight, and is similar to the inventory balance equation used to model the multi-period production planning problem.© BrainMass Inc. brainmass.com March 4, 2021, 7:39 pm ad1c9bdddf
Word document gives recommendations for fuel to be purchased by a new airline using given data. | s3://commoncrawl/crawl-data/CC-MAIN-2021-25/segments/1623487635724.52/warc/CC-MAIN-20210618043356-20210618073356-00003.warc.gz | CC-MAIN-2021-25 | 3,288 | 26 |
https://www.rearfront.com/guys-acting-like-basic-girls/ | math | There is nothing wrong with being basic.
I am aware that it started as kind of an insult from girls who think they are special snowflakes and who don’t follow the trends. But the truth is, everyone should do what they like including wearing uggs and always being at Starbucks.
Because, at the end of the day, who cares what others think? And that is exactly the mindset that started a whole new thing where guys act like basic Instagram girls. Yes, I know not all girls act like this but it is just harmless fun, and it is clear that these guys are not trying to insult anyone.
This is what the creator of the following ingenious posts had to say.
The reaction has been nothing but positive. It almost feels more like paying homage to women instead of mocking them. I’m a female and a feminist, so I’m naturally able to create content that’s not going to be offensive to women, and on top of that, our awesome female followers are able to laugh at themselves and their own “basic” tendencies.
Parodies done in the right way are always funny, and the content is just so relatable to both sexes. And at the end of the day, a lot of the content isn’t even guys mocking girls — it’s them being themselves. Guys can be JUST as basic and thirsty as girls on Insta!
I had an idea for a post on my blog, What If Guys Acted Like Girls on Instagram?. I recruited all my guy friends to create the photos for me, and when the blog started going viral, the idea for the Instagram account was born. I (with the help of my friend Travis May) launched the account on Thanksgiving Eve and it blew up immediately.
So lighten up and scroll on below to take a look.
#1 Are we all in the picture?
#2 Look at what you’re leaving behind.
#3 I couldn’t go on Facebook all day.
#4 No, never delete this picture!
#5 This is me being casual.
#6 How dare you say that?
#7 Posing in nature.
#8 It’s so big!
#9 Gotta admit that is one beautiful picture.
#10 I really hope this was photoshop.
#11 Wouldn’t know. Never been there.
#12 Being a mermaid is better.
#13 Honestly, same.
#14 Roads are definitely natural.
#15 Love the mother.
#16 Are you having a Pity Party?
#17 Ugh, hate these.
#18 This is definitely what quick looks like.
#19 So when are we expecting?
#20 Sure my friends grab my butt every day.
#21 What is the obsession with butts?
#22 Can’t relate.
#23 Smile for the camera.
#24 Don’t you get cold in leggings?
#25 Ah yes, lives of the rich.
#26 These guys are great at jumping.
#27 Vacation? What’s that?
#29 But wouldn’t you sweat in those?
#30 Pizza and wine sound good!
#31 Okay, even I do this sometimes.
#32 Sexy pic is coming up.
#33 Love the dog.
#34 All the necessities of a basic girl.
#35 Love the poses.
#36 Apparently you didn’t.
#37 Okay, sure.
#38 I want that pizza!
#39 This seems highly dangerous.
#40 Why would you do that when you’re a mermaid?
#41 Ah sure.
#42 When coca cola won’t sponsor you.
#43 Nothing crazy at all.
#44 Even I can do that..wait, let me check.
#45 I have been waiting for so long.
#46 So what do most people do when it’s cold out?
#47 I think some crazy is showing here.
#48 Being late is so in nowadays.
#49 Honestly, I can relate.
#50 One slip, and you’re done.
What are your thoughts on these basic girl recreations? Comment down below and let us know. | s3://commoncrawl/crawl-data/CC-MAIN-2020-24/segments/1590347392057.6/warc/CC-MAIN-20200527013445-20200527043445-00143.warc.gz | CC-MAIN-2020-24 | 3,326 | 58 |
https://anyassignment.com/samples/lecture-10653/ | math | Learn to design experiments (both real and computational) to measure deformation and its effects. 3 Course Outline Language of tensor algebra and calculus. Measuring deformation Concept of stress Techniques for measuring deformation Techniques for ‘seeing stress in action Constitutive equations of elasticity Boundary value problems in linear elasticity and some techniques for solving them Energy methods in elasticity 4 Hands on part of the course A combined computational+experimental project on measuring deformations.
Demonstrations on how materials are tested, deformations are measured and stresses are seen A project on photoelectrical and strain gauges Using a commercial software (ABACUS) to solve an elastic boundary value problem. Course details on Google calendar: HTTPS://www. Google. Com/calendar/render? Tab=WAC=l Books Martin H. Sad: Elasticity: Theory, Applications, and Numeric, Elsevier, 2009 Allan F Bower, Applied Mechanics of Solids 1st Edition, CRY Press, 2009. Also http:// www. Solidification. Org Courtesies and assignments available on Brattiest. Evaluation 4 Hands-on Projects: 50%+Upton 20% bonus marks 1 Mid Semester Examination: 20% End Semester Examination: 30% About 5 Assignments to be given. No need to submit. Just for your practice. Attendance will not be monitored but not attending classes regularly will have its consequences. 7 Experiments 4 hands-on projects to be executed. 2 completely experimental, 1 completely mutational and 1 involves experiments and simulations. Form teams of at most 11 people. Decide on 3 team leaders for the experimental, computational and combined parts.
Don’t waste your time!
Order your assignment!
Team leaders will decide division of labor. They will also report problems, bottlenecks to the concerned people. We will adopt a zero-tolerance policy to unfair practices 8 9 QUIP Course on Recent trends in Anna-composites, IT Canker November, 2006 ME : Advanced Mechanics of Solids IT Canker Crookneck delta 10 11 Symmetry and skew-symmetry 12 Symmetry or skew symmetry reduces the number of independent components of the tensor. Summation convention 13 Summation over repeated indices obviates the need to use the summation symbol. 4 The exercise is equivalent to writing: 15 Tensor sum Contraction Permutation symbol 1 3 2 16 Permutations Clockwise: even Counter clockwise: odd 17 inner 18 outer in first second Second order tensors 19 Components of the second order tensor 20 Scalar product of second order Tensors 21 Dyadic (tensor) prod cut of two vectors Any second order tensor can be written as: 24 Transformation of vectors and tensors 25 26 27 Tensor calculus 28 ME 29 : Advanced Mechanics of Solids Scalar, vector and tensor fields Symbolic operator 31 Gauss Divergence theorem 32 vs. | s3://commoncrawl/crawl-data/CC-MAIN-2023-50/segments/1700679103810.88/warc/CC-MAIN-20231211080606-20231211110606-00310.warc.gz | CC-MAIN-2023-50 | 2,774 | 5 |
https://www.tutorz.com/tutor/boston-ma/556214 | math | "I was a mathematics professor at a top rated college in Worcester. (Now I am working in a growing insurance company as a data scientist.) I love teaching and tutoring and I am happy to see my students succeed! I graduated with a PhD in Mathematics from University of Connecticut. I have had seven years of teaching experience teaching in big universities and liberal arts colleges. Since I was a professor in mathematics, I know exactly what level of mathematics a student need to get in order to s"
|fee:||$80 (for 60 min)|
|travel distance:||20 miles|
|member for:||2 years and 11 months|
Boston, MA 02111
|ACT Math - Algebra 1 - Algebra 2 - Calculus - Career Development - Common Core - Cooking - Differential Equations - Discrete Math - Econometrics - Elementary (K-6th) - Elementary Math - ESL/ESOL - Finance - Financial Accounting - Finite Math - GED - Geometry - GMAT - GRE - Linear Algebra - Logic - Managerial Accounting - Microsoft Excel - Microsoft PowerPoint - Microsoft Word - Prealgebra - Precalculus - Probability - Project Management - R - SAS - SAT Math - Special Needs - SQL - Statistics - Study Skills - TOEFL - Trigonometry| | s3://commoncrawl/crawl-data/CC-MAIN-2020-05/segments/1579250606269.37/warc/CC-MAIN-20200122012204-20200122041204-00196.warc.gz | CC-MAIN-2020-05 | 1,145 | 6 |
https://oneclass.com/class-notes/ca/u-of-waterloo/ece/ece-331/654045-ece331-lecture-1.en.html | math | ECE331 Lecture Notes - Lecture 1: He Zi, Charge Carrier, Voltmeter
SchoolUniversity of Waterloo
DepartmentElectrical and Computer Engineering
ECE 331 Lab 1 Report
By Wei, He / Zi, Li
4.4 Estimation of Oxide Thickness
a) Estimate the thickness of the oxide on wafer 1 using the graph in figure 11.
Wafer 1 has wet growth at 1100 degrees Celsius and 50 minutes, judging by figure 11, its thickness of
oxide is approximately 0.65µm.
b)Estimate the thickness of the oxide on wafer 2 using the graph in figure 11.
Wafer 2 has wet growth at 1100 degrees Celsius and 36 minutes, judging by figure 11, its thickness of
oxide is approximately 0.5μm.
c)Estimate the thickness of the oxide on wafer 3 using the graph in figure 11.
Since wafer 3 has the combined oxide formed from step 1 and 4, its thickness is approximately the
sum of oxide formed in step 1 and 4. Thus its thickness is approximately to be 1.15μm.
4.5 Carrier Type by Hot Probe
a) With the hot probe apparatus, the voltmeter will read a positive voltage for Vh-Vc if the material is
n-type, and a negative voltage for Vh-Vc if the material is p - type. Why?
In n-type material, each impurity atom donates an electron, and thereby becomes a positively charged
ion; Electrons are majority carriers and when point h is heated, electron flows from point h to c, what
is left out in point h is holes, which has a positive polarity. Thus the voltage at point h should be
bigger than point c, Vh - Vc is a positive value. In p-type material, the majority carrier is holes.
Holes flows from point h to c, what is left at h is electrons, which has a negative polarity. Thus
voltage at h is smaller than c, the voltmeter shows a negative value for Vh - Vc. | s3://commoncrawl/crawl-data/CC-MAIN-2019-26/segments/1560627999800.5/warc/CC-MAIN-20190625051950-20190625073950-00022.warc.gz | CC-MAIN-2019-26 | 1,706 | 24 |
http://support.minitab.com/en-us/minitab-express/1/help-and-how-to/modeling-statistics/anova/how-to/factorial-plots/overview/ | math | You must perform a two-way ANOVA in Minitab Express before you can use this analysis. To create the factorial plots, Minitab Express uses the most recent two-way ANOVA model that you fit for the response.
For example, researchers at a motor vehicle bureau want to illustrate their two-way ANOVA results that find a significant interaction effect between driver experience and road type on the number of steering corrections.
Factorial plots create graphs with fitted means from a two-way ANOVA model. If you did not perform a two-way ANOVA in Minitab Express, you do not have a model to use. You can create Main Effects Plot and Interaction Plot with data means instead of fitted means.
For more information, go to Comparison of data means and fitted Means. | s3://commoncrawl/crawl-data/CC-MAIN-2018-43/segments/1539583510867.6/warc/CC-MAIN-20181016201314-20181016222814-00000.warc.gz | CC-MAIN-2018-43 | 757 | 4 |
https://nrich.maths.org/public/leg.php?code=-68&cl=3&cldcmpid=2291 | math | Place a red counter in the top left corner of a 4x4 array, which is covered by 14 other smaller counters, leaving a gap in the bottom right hand corner (HOME). What is the smallest number of moves. . . .
On the 3D grid a strange (and deadly) animal is lurking. Using the tracking system can you locate this creature as quickly as possible?
The aim of the game is to slide the green square from the top right hand corner to the bottom left hand corner in the least number of moves.
There are 27 small cubes in a 3 x 3 x 3 cube, 54 faces being visible at any one time. Is it possible to reorganise these cubes so that by dipping the large cube into a pot of paint three times you. . . .
To avoid losing think of another very well known game where the patterns of play are similar.
A game for 2 players
Show that all pentagonal numbers are one third of a triangular number.
P is a point on the circumference of a circle radius r which rolls, without slipping, inside a circle of radius 2r. What is the locus of P?
Given the nets of 4 cubes with the faces coloured in 4 colours, build a tower so that on each vertical wall no colour is repeated, that is all 4 colours appear.
Can you find a rule which connects consecutive triangular numbers?
Can you find a rule which relates triangular numbers to square numbers?
Players take it in turns to choose a dot on the grid. The winner is the first to have four dots that can be joined to form a square.
This is an interactive net of a Rubik's cube. Twists of the 3D cube become mixes of the squares on the 2D net. Have a play and see how many scrambles you can undo!
This task depends on groups working collaboratively, discussing and reasoning to agree a final product.
What's the largest volume of box you can make from a square of paper?
The triangle OMN has vertices on the axes with whole number co-ordinates. How many points with whole number coordinates are there on the hypotenuse MN?
The opposite vertices of a square have coordinates (a,b) and (c,d). What are the coordinates of the other vertices?
Watch these videos to see how Phoebe, Alice and Luke chose to draw 7 squares. How would they draw 100?
Have a go at this 3D extension to the Pebbles problem.
Build gnomons that are related to the Fibonacci sequence and try to explain why this is possible.
Semi-regular tessellations combine two or more different regular polygons to fill the plane. Can you find all the semi-regular tessellations?
Bilbo goes on an adventure, before arriving back home. Using the information given about his journey, can you work out where Bilbo lives?
Can you discover whether this is a fair game?
A game for 2 people. Take turns joining two dots, until your opponent is unable to move.
In this problem we are faced with an apparently easy area problem, but it has gone horribly wrong! What happened?
A bicycle passes along a path and leaves some tracks. Is it possible to say which track was made by the front wheel and which by the back wheel?
Place the numbers 1, 2, 3,..., 9 one on each square of a 3 by 3 grid so that all the rows and columns add up to a prime number. How many different solutions can you find?
How can visual patterns be used to prove sums of series?
Some students have been working out the number of strands needed for different sizes of cable. Can you make sense of their solutions?
An irregular tetrahedron has two opposite sides the same length a and the line joining their midpoints is perpendicular to these two edges and is of length b. What is the volume of the tetrahedron?
Simple additions can lead to intriguing results...
Use the animation to help you work out how many lines are needed to draw mystic roses of different sizes.
This is a simple version of an ancient game played all over the world. It is also called Mancala. What tactics will increase your chances of winning?
This article for teachers discusses examples of problems in which there is no obvious method but in which children can be encouraged to think deeply about the context and extend their ability to. . . .
A and C are the opposite vertices of a square ABCD, and have coordinates (a,b) and (c,d), respectively. What are the coordinates of the vertices B and D? What is the area of the square?
Discover a way to sum square numbers by building cuboids from small cubes. Can you picture how the sequence will grow?
A right-angled isosceles triangle is rotated about the centre point of a square. What can you say about the area of the part of the square covered by the triangle as it rotates?
This is the first article in a series which aim to provide some insight into the way spatial thinking develops in children, and draw on a range of reported research. The focus of this article is the. . . .
Points P, Q, R and S each divide the sides AB, BC, CD and DA respectively in the ratio of 2 : 1. Join the points. What is the area of the parallelogram PQRS in relation to the original rectangle?
How could Penny, Tom and Matthew work out how many chocolates there are in different sized boxes?
Can you mark 4 points on a flat surface so that there are only two different distances between them?
Two boats travel up and down a lake. Can you picture where they will cross if you know how fast each boat is travelling?
Mathematics is the study of patterns. Studying pattern is an opportunity to observe, hypothesise, experiment, discover and create.
What can you see? What do you notice? What questions can you ask?
This problem is about investigating whether it is possible to start at one vertex of a platonic solid and visit every other vertex once only returning to the vertex you started at.
I found these clocks in the Arts Centre at the University of Warwick intriguing - do they really need four clocks and what times would be ambiguous with only two or three of them?
Rectangles are considered different if they vary in size or have different locations. How many different rectangles can be drawn on a chessboard?
On the graph there are 28 marked points. These points all mark the vertices (corners) of eight hidden squares. Can you find the eight hidden squares?
A cyclist and a runner start off simultaneously around a race track each going at a constant speed. The cyclist goes all the way around and then catches up with the runner. He then instantly turns. . . .
Draw a pentagon with all the diagonals. This is called a pentagram. How many diagonals are there? How many diagonals are there in a hexagram, heptagram, ... Does any pattern occur when looking at. . . . | s3://commoncrawl/crawl-data/CC-MAIN-2019-09/segments/1550247479729.27/warc/CC-MAIN-20190216004609-20190216030609-00388.warc.gz | CC-MAIN-2019-09 | 6,514 | 50 |
https://web2.0calc.com/questions/can-someone-solve-this-for-me | math | When running a 100 meter race Justin reaches his maximum speed when he is 35 meters from the starting line, and 7 seconds have elapsed since the start of the race. Justin continues at this max speed for the rest of the race and is 70 meters from the starting line 12 seconds after the start of the race.
What is Justin's max speed?
Suppose Justin runs for an additional 2 seconds after reaching his max speed...
How far will Justin travel during those 2 seconds?
What is Justin's distance from the starting line 9 seconds after the start of the race?
What is Justin's distance from the starting line 8.5 seconds after the start of the race?
Justin runs a 100meter race.
Justin reaches his maximum speed after running 35m in 7s.
After which he runs an additional "35m in 5s". <<---(Maximum speed).
For the next 2s he runs "X"m.
Which adds up to "(35m+"X"m)" in 9s and/or "(35m+((3/4)"X"m))" in 8.5s, away from the starting line.
I hope that helped?
Unless you are meant to calculate acceleration, the first two lines are pretty useless calculation wise.
The only useful thing it tells you is "the distance from the starting line".
And that it was after this point in the race that he had reached his maximum speed, but it doesn't indicate the maximum speed.
For that you have to look at line three...
After that it's pretty simple math. | s3://commoncrawl/crawl-data/CC-MAIN-2020-16/segments/1585370506870.41/warc/CC-MAIN-20200402080824-20200402110824-00444.warc.gz | CC-MAIN-2020-16 | 1,335 | 17 |
http://negpoz.com/quantum-mechanics-sakurai-skype.php | math | Solved problems in quantum mechanics Mauro Moretti∗and Andrea Zanzi† Abstract This is a collection of solved problems in quantum mechanics. These exercises have . Problems from Sakurai and Napolitano’s Quantum Mechanics (2nd Edition). Note: If you are using the 1st, or revised editions, your problem numbers, and sometimes even . Quantum mechanics. Quantum mechanics differs from classical physics in that: energy, momentum, angular momentum, and other quantities of a system are restricted to discrete values (quantization), objects have characteristics of both particles and waves while being neither one of .
6. Time Evolution and the Schrödinger Equation, time: 1:22:19Tags:Shawn mcdonald gravity s,Speedbit video accelerator premium full,Mr catra vai que cola,Adobe flash reader for window 7 | s3://commoncrawl/crawl-data/CC-MAIN-2021-04/segments/1610703547475.44/warc/CC-MAIN-20210124075754-20210124105754-00581.warc.gz | CC-MAIN-2021-04 | 804 | 2 |
https://www.hindawi.com/journals/complexity/2018/5139840/ | math | Advances in Modelling, Monitoring, and Control for Complex Industrial SystemsView this Special Issue
Estimation and Synthesis of Reachable Set for Singular Markovian Jump Systems
The problems of reachable set estimation and state-feedback controller design are investigated for singular Markovian jump systems with bounded input disturbances. Based on the Lyapunov approach, several new sufficient conditions on state reachable set and output reachable set are derived to ensure the existence of ellipsoids that bound the system states and output, respectively. Moreover, a state-feedback controller is also designed based on the estimated reachable set. The derived sufficient conditions are expressed in terms of linear matrix inequalities. The effectiveness of the proposed results is illustrated by numerical examples.
The research on singular systems has attracted significant attention in the past years due to the fact that singular systems can better describe a larger class of physical systems such as robotic systems, electric circuits, and mechanical systems. When singular systems experience abrupt changes in their structures, it is natural to model them as singular Markovian jump systems [1, 2]. The analysis and synthesis of such class of systems have gained considerable attention because of their importance in applications (see, e.g., the literature [3–10] and the references therein).
Reachable set is one of the important techniques for parameter estimation or state estimation problems . Reachable set for a dynamic system is the set containing all the system states starting from the origin under bounded input disturbances. However, the exact shape of reachable sets of a dynamic system is very complex and hard to obtain; for this reason a number of researchers began to turn their attention to the reachable set estimation problem. The common strategies for reachable set estimation are ellipsoidal method and polyhedron method . The main idea of these methods is to detect simple convex shapes like ellipsoid or polyhedron, which contains all the system states. Compared with polyhedron method, the primary advantage of ellipsoidal method is that the ellipsoid structure is simple and directly related to quadratic Lyapunov functions. As a result, linear matrix inequalities (LMIs) techniques can be used to determine bounding ellipsoids. In the framework of bounding ellipsoid, the reachable set estimation problem for linear time delay systems has received significant research attention in recent years. In sufficient conditions for the existence of bounding ellipsoids containing the reachable set of continuous-time linear systems with time-varying delays were derived by using the Lyapunov-Razumikhin function. In , by using Lyapunov-Krasovskii functional method, the author derived some less conservative conditions than those in . In the reachable set of delayed systems with polytopic uncertainties was investigated by using the maximal Lyapunov-Krasovskii functional approach, and some new conditions bounding the set of reachable states are derived. Interesting results on reachable set of delayed systems with polytopic uncertainties can also be found in [17–20]. In addition, some other strategies without using Lyapunov-Krasovskii functional have been provided to estimate the reachable set of continuous-time linear time-varying systems and nonlinear time delay systems [22, 23]. The authors in extended the ideas of reachable set estimation of continuous-time systems to discrete-time systems, wherein a fundamental result (Lemma 2.1 ) for the reachable set estimation of discrete-time systems was proposed. The authors in improved the fundamental result obtained in and provided a basic tool (Lemma 4 ) for the reachable set estimation of discrete-time systems. On the basis of the general ideas proposed in , the reachable set estimation problem was also extended to some classes of complicated systems, such as singular systems , Markovian jump systems , switched linear systems , and T-S fuzzy systems [29, 30]. For the reachable set estimation of discrete-time systems, the other important contributions can be found in [31, 32]. On the other hand, the problem of controller design for specifications involved with the reachable set of a control system is also a very important issue . The controller design problems concerning reachable set were studied in and by using ellipsoidal method and polyhedron method, respectively. Two issues were raised in : the first one is to design a controller such that the reachable set of the closed-loop system is contained in an ellipsoid, and the admissible ellipsoid should be as small as possible; the second one is to design a controller such that the reachable set of the closed-loop system is contained in a given ellipsoid. By constructing suitable Lyapunov-Krasovskii functional, LMI-based sufficient conditions for the existence of controller guaranteeing the ellipsoid bounds as small as possible have been derived for continuous-time delay systems and discrete-time periodic systems . It is obvious that the LMI-based controller design is quite simple and numerically tractable. However, it should be pointed out that the reachable set estimation and synthesis problems of singular Markovian jump systems are much more difficult and challenging than that for nonsingular Markovian jump systems since the ellipsoid containing the reachable set is not directly related to quadratic Lyapunov functions. To the best of the authors’ knowledge, no related results have been established for reachable set estimation and synthesis of singular Markovian jump systems, which has motivated this paper.
In this paper, we consider the problems of reachable set estimation and synthesis of singular Markovian jump systems. By using the Lyapunov approach, the estimation conditions on state reachable set and output reachable set are derived, respectively. Moreover, the desired state-feedback controller is designed based on the estimated reachable set.
Notation. Throughout this paper, denotes the -dimensional Euclidean space; represents the transpose of ; stands for ; (<0) means is a symmetric positive (negative) definite matrix; refers to the expectation; denotes the matrix composed of elements of first rows and columns of matrix ; refers to the Euclidean vector norm; the symbol “” in LMIs denotes the symmetric term of the matrix; is the unit matrix with appropriate dimensions.
2. Problem Formulation
Consider the following singular Markovian jump system:where is the state vector, is the control input, is the measured output, and is the exogenous disturbance which satisfies, , , , and are real constant matrices with appropriate dimensions and . is a continuous-time Markovian process with transition rate matrix and the evolution of Markovian process is governed by the following transition rate:where and ; for is the transition rate from mode to mode and .
For notational simplicity, in the sequel, for each possible , , matrices , , , and will be denoted by , , , and , respectively. When , the system is referred to as a free system.
In this paper we are interested in determining ellipsoids that contain, respectively, the state reachable set and output reachable set. In the reachable set analysis, it is required that systems should be asymptotically stable. When this requirement is not met, we will further design a state-feedback controller such that the reachable set of the closed-loop system is contained in the smallest ellipsoid.
The state reachable set of the free system in (1) is defined by An ellipsoid bounding the reachable set can be always represented as follows: Particularly, when for , the ellipsoid will become a ball which is denoted by .
Since , there exist two nonsingular matrices and such thatLet . Then the free system can be rewritten as the following differential-algebraic form:
The following definition and lemma are also useful in deriving the main results.
Definition 1 (see ). (I) The free system is said to be regular if is not identically zero for each .
(II) The free system is said to be impulse-free if for each .
Lemma 2 (see ). For any matrices and with , one has .
Lemma 3 (see ). Let be a Lyapunov function and . If then , .
3. Main Results
3.1. State Reachable Set Estimation
In this subsection, we will focus our attention on determining a ball which contains the state reachable set of the free system.
Theorem 4. If there exist nonsingular matrices and a scalar such that the following LMIs hold for each ,then the state reachable set of free system starting from the origin is mean-square bounded within the following set:where
Proof. We first prove the regularity and nonimpulsiveness of the free system. Let . Then, by (10), we obtain that . From (11), it is easy to show thatPre- and postmultiplying (14) by and , respectively, we getwhere will be irrelevant to the results of the following discussion; thus the real expressions of these two variables are omitted. It follows from (15) thatwhich implies that is nonsingular for each . Therefore, by Definition 1, we have that the free system is regular and nonimpulsive.
Next, we will show the state reachable set of free system is mean-square bounded within the set . Consider the following Lyapunov function:Let be the weak infinitesimal generator of the random process . Calculating the difference of along the trajectories of the free system, we getDefining the augmented system variable as and using conditions (10) and (11), we haveThen we can deduce from Lemma 3 that , which infers thatRecalling that , it follows from (20) thatFrom (21) we have , which implies that .
Since is nonsingular for each , (8) can be rewritten asThen we can deduce thatIt follows from the fact thatwhere .
By (24), it can be seen thatwhich implies that the trajectories of (7)-(8) are mean-square bounded within the set . Moreover, notice that , and (25) can be rewritten as . By denoting , the state reachable set of free system is mean-square bounded within the set .
It should be noted that inequality (10) represents a nonstrict LMI. This may lead to numerical problems since equality constraints are usually not satisfied perfectly. Below, we will develop a numerically tractable and nonconservative LMI condition.
Theorem 5. If there exist symmetric positive definite matrices , nonsingular matrices , and a scalar such that the following LMI holds for each ,then the state reachable set of free system is mean-square bounded within the following set:where is any matrix with full row rank and satisfies ; is any matrix with full column rank and satisfies .
Proof. Let in (26); it is easy to obtain (10) and (11). In this case, inequality (20) will be replaced by , which infers that with . Then, following the same lines as (22)–(25) in Theorem 4, we can get for any . Therefore, the state reachable set of free system is mean-square bounded within the set .
Remark 6. In order to make the ellipsoid as small as possible, we require . For this purpose, we can add the additional requirement and then maximize a positive scalar , which is equivalent to the following minimization problem:where .
3.2. Output Reachable Set Estimation
Theorem 7. If there exist symmetric positive definite matrices and , nonsingular matrices , and a scalar such that the following LMIs hold for each ,then the output reachable set of free system is mean-square bounded within the following set:where , , , and are defined in Theorem 5.
Proof. By Theorem 5, LMI (30) ensuresWith this and (31), we obtain thatDue to the fact that , (34) can be rewritten as . Thus, the output reachable set of free system is mean-square bounded within the set .
Remark 8. The output reachable set is also expected to be as small as possible. To achieve this goal, we first solve LMI (30) and get satisfying , which can be implemented by using (29). Then we add the additional requirement and maximize a positive scalar , which is equivalent to the following minimization problem:where .
3.3. State-Feedback Controller Design
In this section, we turn our attention to the state-feedback control problem. Our goal here is to find a state-feedback controller, which not only stabilizes the closed-loop system, but also makes the ellipsoid bound on the reachable set of closed-loop system as small as possible.
Now, consider the state-feedback controller , where is a gain matrix to be determined later. By using this controller, the closed-loop system can be obtained aswhere .
Theorem 9. Consider singular Markov jump system (1). If there exist nonsingular matrices , matrices , and scalars , such that the following LMIs hold for each ,then the reachable set of system (1) is mean-square bounded within the set , and the desired controller gain matrix is given by , where
Proof. Denote and for each . Then, pre- and postmultiplying (39) by and its transpose, respectively, we obtainwhere , .
Using Lemma 2, we haveFrom (41) and (42), it is easy to obtain thatwhere , .
By Schur complement, the previous matrix inequality becomeswhere .
Since , (38) infers that . Pre- and postmultiplying the previous matrix inequality by and , respectively, we have . This together with (44) implieswhere .
Pre- and postmultiplying (37) by and , respectively, we obtainFrom the above discussion, we show that if (37)–(39) hold, then (45) and (46) hold. Thus, it follows from Theorem 4 that the closed-loop system can be stabilized by the designed state-feedback controller.
Next, we show that the reachable set of the closed-loop system (36) is mean-square bounded within the set . From (45) and (46), it is easy to show that there exists a Lyapunov function such that , where denotes the difference of along the trajectories of (36). It follows from Lemma 3 that , which impliesNoting that , then (47) can be rewritten asRecalling that is a lower triangular matrix, (48) infers thatwhere .
By (49), it can be seen thatUsing the fact that , we getThis together with (24) yieldsFrom (24), (51), and (52), we have thatwhere . This implies that . Recalling that , we haveBy denoting , the reachable set of closed-loop system (36) is mean-square bounded within the set .
Remark 10. In order to make the ellipsoid as small as possible, we shall carry out the following minimization problem:
4. Numerical Examples
In this section, two numerical simulation examples are given to show the effectiveness of the main results derived above.
Example 11. Consider the free system in (1) with the following parameters: The switching between two modes is described by the following transition rate matrix:
In this example, we choose , . By solving optimization problem (29) with the aid of fminsearch, the minimal and the corresponding are and , respectively. Using the above parameter values, we can obtain and by solving (26). Owing to Theorem 5, the state reachable set is mean-square bounded within the set .
By applying Theorem 7, we have the following results:Therefore, the output reachable set of free system is mean-square bounded within the set .
For simulation we assume that and the disturbance is chosen as . A case for stochastic variation with transition rate matrix is shown in Figure 1. The state reachable set and the ball are depicted in Figure 2. Figure 2 shows that the trajectory of the system is mean-square bounded within the region . The output reachable set , the ball , and the ellipsoid are depicted in Figure 3. Figure 3 shows that the output reachable set is mean-square bounded within the region .
Example 12. Consider system (1) with the following parameters: The switching between two modes is described by the following transition rate matrix: By Theorem 9, we get the following results: Therefore, the gain matrices of state-feedback controller can be obtained as The corresponding parameter values and are, respectively, and , which imply and . Applying this controller makes the state reachable set of closed-loop system (36) mean-square bounded within the region .
For the purpose of the simulation, we assume the initial condition and the disturbance is chosen as . Figure 4 shows one possible switching between two modes. Figure 5 depicts the state reachable set of closed-loop system (36).
This paper has dealt with the problems of reachable set estimation and state-feedback controller design for singular Markovian jump systems. New sufficient conditions for the state reachable set estimation and output reachable set estimation have been, respectively, derived in terms of linear matrix inequalities. Based on the estimated reachable set, the state-feedback controller has also been designed. Numerical examples and simulation results have been provided to demonstrate the effectiveness of the proposed methods.
Conflicts of Interest
The authors declare that there are no conflicts of interest regarding the publication of this paper.
This work was supported by Applied Basic Research Project of Science and Technology Department of Sichuan Province (no. 2017JY0336), a project supported by Scientific Research Fund of Sichuan Provincial Education Department (no. 16ZA0146), the National Natural Science Foundation of China (no. 11501474), the Longshan Academic Talents Research Support Program of the Southwest University of Science and Technology (no. 17LZX537 and no. 17LZXY11), and the Doctoral Research Foundation of Southwest University of Science and Technology (no. 13zx7141).
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https://math.answers.com/algebra/Do_graphs_represent_equations | math | Line graphs may represent equations, if they are defined for all values of a variable.
They are different ways to represent the answers of an equation
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Graphs help you solve equations, and equations help you solve graphs. Because the graph is a diagram of the equation, showing at its simplest the y answer for each value of x.
Graphs and equations of graphs that have at least one characteristic in common.
Equations are never parallel, but their graphs may be. -- Write both equations in "standard" form [ y = mx + b ] -- The graphs of the two equations are parallel if 'm' is the same number in both of them.
graphs allow for an alternative visual method to solve mathematical equations.
They are straight line graphs that work out the solutions of 2 equations or simultaneous equations
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http://www.chegg.com/homework-help/fundamentals-of-machine-component-design-5th-edition-chapter-7-problem-10p-solution-9781118012895 | math | Solutions for Chapter 7 Problem 10P
Express the maximum impact force applied to wrecked vehicle as:
Here, gravity force is W, speed velocity is v, static deflection is , and acceleration due to gravity is .
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https://livrariadafisica.com.br/detalhe_produto.aspx?id=25748&titulo=Surveys+in+Combinatorics,+1995 | math | SURVEYS IN COMBINATORICS, 1995
Quantidade limitada no estoque. Envio imediato.
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The fifteenth British Combinatorial Conference took place in July 1995 at the University of Stirling. This volume consists of the papers presented by the invited lecturers at the meeting, and provides an up-to-date survey of current research activity in several areas of combinatorics and its applications. These include distance-regular graphs, combinatorial designs, coding theory, spectra of graphs, and randomness and computation. The articles give an overview of combinatorics that will be extremely useful to both mathematicians and computer scientists. | s3://commoncrawl/crawl-data/CC-MAIN-2020-50/segments/1606141181482.18/warc/CC-MAIN-20201125071137-20201125101137-00210.warc.gz | CC-MAIN-2020-50 | 662 | 4 |
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High Quality Content by WIKIPEDIA articles! Vectors in three-dimensional space (1978) is a book concerned with physical quantities defined in "ordinary" 3-space. It was written by J.S.R.Chisholm, an English mathematical physicist, and published by Cambridge University Press. According to the author, such physical quantities are studied in Newtonian mechanics, fluid mechanics, theories of elasticity and plasticity, non-relativistic quantum mechanics, and many parts of solid state physics. The author further states that "the vector concept developed in two different ways: in a wide variety of physical applications, vector notation and techniques became, by the middle of this century, almost universal; on the other hand, pure mathematicians reduced vector algebra to an axiomatic system, and introduced wide generalisations of the concept of a three-dimensional 'vector space'."
Numero di Pagine:
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https://gizmodo.com/geons-have-gravity-but-no-mass-could-they-really-exis-1456613402 | math | John Archibald Wheeler is a physicist who coined a lot of terms. You may have heard of a few of them. Wormhole. Black hole. Quantum foam. And geon. Wait, geon?
J A Wheeler was one of those people who seemed to be in exactly the right place, in exactly the right time, with exactly the right brain. After studying physics he collaborated with Albert Einstein, in Einstein's later years. This was not an uncontroversial thing. Einstein spent much of his later life working on unified field theory - a "theory of everything" that many now dismiss. (Even those who don't dismiss it don't believe Einstein should have worked on it, given the data he had at the time.) Wheeler continued Einstein's work, and seems to have made good use of it. He came up with a ton of ideas, some of which populate the physical universe and some of which populate science fiction stories. He coined the terms for black hole and wormhole.
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https://pokemondb.net/pokebase/165341/what-are-the-updated-hidden-power-ivs-for-gen-vi | math | >As the method for determining the type of Hidden Power is the same as Generation III to V, a Fairy-type Hidden Power is not possible.
I assume by 'Hidden Power IVs' you mean the Hidden Power calculation, so the Hidden Power calculation is exactly the same as the previous three generations.
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https://www.kek.jp/ja/conference/2020-5218/ | math | KEK 素粒子原子核研究所 理論セミナー ( 奥田 拓也 氏 )
|講演者||Dr. 奥田 拓也 ( 東京大学 )|
The level-k U(1) Chern-Simons theory with k odd is an example of spin topological quantum field theory (spin TQFT), i.e., a TQFT whose partition functions and states depend on the spin structure of spacetime. Its dynamics is expected to be captured by the 2d CFT of a free compact boson with a certain radius. Recently it was recognized that an appropriate dependence on the 2d spin structure can be given to the CFT by modifying the theory using the so-called Arf invariant. We demonstrate that one can reorganize the torus partition function of the modified CFT into a sum involving a finite number of conformal blocks. This allows us to reproduce the modular matrices of the spin theory. We use the modular matrices to calculate the partition function of the spin Chern-Simons theory on the lens space, and demonstrate the expected dependence on the 3d spin structure. As an introduction to the topic the talk will include an elementary review of the topological phase of matter. | s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233506632.31/warc/CC-MAIN-20230924091344-20230924121344-00574.warc.gz | CC-MAIN-2023-40 | 1,103 | 3 |
https://studylib.net/doc/5728306/parametric-equations | math | Parametric Equations Day 2 TS: Examining Information from more than one viewpoint Warm Up: Eliminate the parameter and then sketch the graph. Do not forget your directional arrows. x ln(2t ) y 2t 2 Projectile Motion Model x (vo cos )t y h (vo sin )t 16t 2 Where: h = initial launch height Vo = initial velocity θ = angle with horizontal object was initially launched at A ball is initially hit at a height of 7ft at an angle of 35°. If someone 30 yards away catches the ball at a height of 4 feet, what was the initial velocity of the ball? Also how long was the ball in flight? Two opposing players in “Capture the Flag” are 100ft apart. On a signal, they run to capture a flag that is on the ground midway between them. The faster runner, however, hesitates for 0.1 sec. The following parametric equations model the race to the flag: x1 10(t 0.1), y1 3 x2 100 9t , y2 3 a) Simulate the game in a [0, 100] by [-1, 10] viewing window with a t starting at 0. Graph simultaneously. b) Who captures the flag and by how many feet? | s3://commoncrawl/crawl-data/CC-MAIN-2020-45/segments/1603107876768.45/warc/CC-MAIN-20201021151342-20201021181342-00355.warc.gz | CC-MAIN-2020-45 | 1,032 | 1 |
http://openstudy.com/updates/5618472ee4b02b3e025fef55 | math | At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
so.. let's say hmmm the hours the $75 mechanic worked was \(\bf x\) and the hours the $110 mechanic worked was \(\bf y\) how many hours did they work together?
so... they worked together 20 hours we dunno what those hours are, but we can call them "x" and "y" so we could say that \(\bf x+y=20\) the mechanic that charges $75 per hour, after "x" hours, he ended up charging 75*x or 75x the mechanic that charges $110 per hour, after "y" hours, he ended up charging 110*y or 110y now, their total bill was 2025 so we could also say that \(\bf 75x+110y = 2025\) any ideas?
im confused i have to give hours for mechanic one and mechanic 2
i have 4 questions like this i really want to know how tp figure them out
yes.... notice... x+y = 20 so... if you solve that for say "y"... how does it look like?
the hours, notice above, for each is "x" and "y", thus
this is basically a substitution problem involving the 2 equations up above ^^. We have : x + y = 20 ----> x = -y + 20 75x + 110y = 2025 now sub -y + 20 in for x back into the second equation....you will then be solving for y, the hrs for the mechanic that charges 110 per hr.
mechanic 1 5 hours mechanic 2 15 hours ??
lets check by subbing in your answers into the 2nd equation.. 75x + 110y = 2025 75(5) + 110(15) = 2025 375 + 1650 = 2025 2025 = 2025 (correct) yes...that is correct
ty for explaining it
medal should go to jdoe....he/she helped you set it up...without that, you have nothing...lol
you stayed to make sure i understood..
all is good...I gave jdoe a medal I am always happy to help when I can :) | s3://commoncrawl/crawl-data/CC-MAIN-2017-22/segments/1495463608726.4/warc/CC-MAIN-20170527001952-20170527021952-00324.warc.gz | CC-MAIN-2017-22 | 2,257 | 14 |
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Today’s tip is #19: Stay Healthy!
Easier said than done of course, especially in the cold winter weather.
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- Manage your training progression & periodization
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- Eat well – fruit and veg, vitamin C, etc
- Dress appropriately – before, during and after training
By being proactive we can maximize our training effectiveness over the course of a season. Consistency throughout the season is key when it comes to performance and racing our best – be it triathlon, ironman, open water swimming or running (etc, etc).
Previous tips in the 31 Easy Tips series include:
#1: Drink Water First Thing in the Morning
#2: Write Down Your Goals (Now!)
#3: Ask an Expert
#4: Start Stretching
#5: Track your progress towards your Goals
#6: Take a Cold Shower
#7: Incorporate Drills into your Workouts
#8: Superfoods for Superperformance
#9: Get Some Rest
#10: Cross train
#11: Reward Yourself
#12: Don’t Breathe in the Pool
#13: Take a Bath
#14: Do Squat!
#15: Get Yourself a Mentor
#16: Do Yoga
#17: Be on Time
#18: Leave Your Bucket of Troubles at the Door | s3://commoncrawl/crawl-data/CC-MAIN-2019-47/segments/1573496669454.33/warc/CC-MAIN-20191118053441-20191118081441-00104.warc.gz | CC-MAIN-2019-47 | 1,481 | 29 |
https://donnayoung.org/art/perspective-models.htm | math | Spacing Vertical or Horizontal Elements
DML is short for Diagonal Measuring Line. Note: terms use on this page may not be universal.
This picture is an example of how to space vertical objects such as posts, poles. Study the picture to figure out how it is done. This also applies to horizontal elements that are evenly spaced.
This is based on this one simple fact.
An X drawn corner to corner inside a square, rectangle, or circle will show you where the center is and this will allow you to draw things that are regularly spaced such as tiles in floors, railroad tracks, and telephone poles, and so forth.
Consider this idea with a grid.
This image shows a model of squares with a diagonal line drawn through the corners. Take note of what we normally take for granted... the diagonal line crosses through the intersections of the squares.
Look at the foreshortened model of the squares. Notice that the diagonal measuring line (DML) crosses through the intersections in the same way.
Consider how understanding this simple fact this will help you draw in perspective. For instance, the drawing below is possible with the diagonal measuring line.
Go to: 1-Point Grid for steps in drawing a gridded plane with one-point perspective
The grid on the ground line (GL) or horizontal measuring line (HML) determines the spacing of the parallel lines that meet at the vanishing point. (The lines going toward the vanishing point are parallel.. They don't look parallel do they? In real life they would be.)
The DML determines where the horizontal lines will be drawn. Notice in the image where the BLUE DML intersects with the parallel lines (circled in yellow in the image to the left.) The intersection of the DML with the parallel lines is where to draw the horizontal lines. (Remember the grid?)
Now it is just a matter of precise drawing.
2-Point Perspective Models
I'm sorry that I do not have time to write about these drawings. I'm going to drop them here and perhaps just observing where the SVP are in relation to the location of other points will be self-explanatory on the effects of the gridded plane.
The DML (diagonal measuring line) will help you make circles too. Look at the image above. I have drawn a square and then I marked the square with two DML's making an x in the square. Next each DML half was divided into thirds.. that is what the tick-marks are on the lines. Next a circle was drawn using the tick marks and the square's 4 sides. Notice one thing... The circle is just beyond the tick marks; it is not on the tick mark.
Now take this idea into a cube. See image belowCarefully look at the tick marks in this foreshortened cube. Note that the tick marks furthest away are closer to the circle. Always keep in mind that you are drawing in perspective and the parts of the drawing which are "further away" become closer to each other and smaller and thinner.
It takes some practice to be able to do this well, so don't give up if it seems difficult.
Artist of interest:
M. C. Escher | s3://commoncrawl/crawl-data/CC-MAIN-2023-40/segments/1695233511369.62/warc/CC-MAIN-20231004120203-20231004150203-00089.warc.gz | CC-MAIN-2023-40 | 3,006 | 20 |
https://www.mathnook.com/math/mathpup-words.html | math | Keep MathPup flying high and away from the dogcatcher in this hangman like math vocabulary game. Keep fuel in MathPup's jetpack by filling in letters to the unknown math word. Use the hint to help you figure out what the word is. Select a wrong letter and MathPup loses fuel. Lose enough fuel and MathPup will land and be caught by the dogcatcher! 3 difficulty levels to choose from.
View instructions by selecting the "Instructions" button on the main menu or a video overview of how to play the game can be viewed by clicking this link: MathPup Words Overview Video | s3://commoncrawl/crawl-data/CC-MAIN-2024-10/segments/1707947476180.67/warc/CC-MAIN-20240303011622-20240303041622-00341.warc.gz | CC-MAIN-2024-10 | 567 | 2 |
http://eanes.slotvipmine.xyz/hacked/Winning-numbers-in-roulette.html | math | Help - Casino - Quantum Roulette.
The bet works like this: Whenever you see any 2 numbers from this set of 4 numbers appear together within 9 spins, play all 4 numbers for 17-21 bets. (Most roulette system numbers can be played split or straight up.) Let’s say the following numbers are on the marquee (real sample taken from the American wheel): 5 19 11 12 31 19 6 8 (win).
For example, if you bet on 18 numbers of the 36 from the table, your percentage of winning will be higher than 50%, because the 18 numbers you cover are not 18 casual numbers, but are 18 hot numbers that usually comes out after the last number you typed into software, so the chance of winnings is much higher than betting on 18 random numbers. Just to prove that, let set that RouleGENIUS gives.
Street - The payout will be 11 to 1 (with a percentage chance of 8.1% in European roulette and 7.9% in American roulette) as you are betting on a row of three numbers (i.e. 19, 20, 21).
Determining the winning roulette numbers does not have to employ science alone. If you have no interest in finding out just how good you are at wielding gadgets or applying physics, try another option. Put your skills of observation to the test. The dealer signature is a roulette tactic that is as old as finding a slanted or tilted wheel. Some dealers are already veterans where they have their.
It is a very common tactic to bet on five roulette numbers per spin. There is also an automated Five Numbers Bet, that is called Neighbors bet. In the Neighbors bet, you bet a number and its four neighboring numbers: the two numbers on the left to the main number and the two numbers on the right, based on the European wheel layout. For example the “36 and the Neighbors” bet, includes the.
In Roulette key I've set an alert for 74 spins but you can alter this at will. The Finals System Finals are numbers ending in 0-6 so 0,10,20,30 is a final as is 5,15,25,35 and so on.
The casino roulette wheel can be your best friend (or worst enemy) Here are some other basic roulette strategies players often use: Numbers. A favorite of many, players choose one, or several of the 38 numbers on the wheel. That is, the numbers 1 through 36, or the 0 or 00. | s3://commoncrawl/crawl-data/CC-MAIN-2021-04/segments/1610703528672.38/warc/CC-MAIN-20210121225305-20210122015305-00347.warc.gz | CC-MAIN-2021-04 | 2,211 | 8 |
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