Computational Applied Mathematics Tutorials

Focus Group: Computational Applied Mathematicsby Lambert Ardy

7 Pages |2326 Views

Multigrid/Multilevel Methods Wavelets Fast Multipole Methods (FMM) Randomized fast algorithms for approximation of Singular Value Decomposition (SV...

6.041 / 6.431 4. Countingby LearnOnline Through OCW

3 Pages |123 Views

The topics covered in this lecture notes are:
• Principles of counting
• Many examples of
–permutations

6.041 / 6.431 20. Central Limit Theoremby LearnOnline Through OCW

3 Pages |223 Views

This lecture notes introduces "THE CENTRAL LIMIT THEOREM".
CDF of Zn converges to normal CDF.Various topics covered under this section are Normal...

6.041 / 6.431 25. Classical Statistical Inference - IIIby LearnOnline Through OCW

3 Pages |165 Views

In this lecture notes we are going to continue with Classical Statistical Inference- III. Here, Review of simple binary hypothesis tests with examp...

6.041 / 6.431 14. Poisson Process - Iby LearnOnline Through OCW

3 Pages |323 Views

In this lecture Review of Bernoulli process has been done and this lecture explores 1. Definition of Poisson Process, 2. Distribution of number of arr...

6.041 / 6.431 2. Conditioning and Bayes' Ruleby LearnOnline Through OCW

3 Pages |261 Views

Upon completion of this lesson, you should be able to better understand Conditional probability, Models based on conditional probabilities, Multipl...

6.041 / 6.431 3. Independence of Eventsby LearnOnline Through OCW

3 Pages |123 Views

This lecture notes introduces Independence of Two Events and Independence of a collection of events. If there are two events A and B occurrence of A ...

6.041/6.431 24. Classical Statistical Inference - IIby LearnOnline Through OCW

3 Pages |205 Views

In this lecture notes we are going to continue with Classical Statistical Inference - II. This lesson reviews 1. Maximum likelihood estimation and ...

6.041 / 6.431 9. Multiple Continuous Random Variablesby LearnOnline Through OCW

3 Pages |221 Views

This lesson reviews PDF(Probability density functions) and introduces Multiple random variables, conditioning and independence.Conditioning is explain...

6.041 / 6.431 19. Weak Law of Large Numbersby LearnOnline Through OCW

3 Pages |141 Views

This lecture notes introduces Chebyshev’s inequality. This lecture explores the following information:
Convergence of Mn(weak law of large number...