Focus Group: Computational Applied Mathematicsby Lambert Ardy
7 Pages |2171 Views
Multigrid/Multilevel Methods Wavelets Fast Multipole Methods (FMM) Randomized fast algorithms for approximation of Singular Value Decomposition (SV...
History of Computingby Justin Kane
21 Pages|4181 Views
History of Computing People of Egypt, China and ancient Babylonia By 3000 B.C., had developed written symbols to represent numbers Performed simpl...
6.041 / 6.431 4. Countingby LearnOnline Through OCW
3 Pages |78 Views
The topics covered in this lecture notes are: • Principles of counting • Many examples of –permutations
6.041 / 6.431 1. Probability Models and Axiomsby LearnOnline Through OCW
3 Pages|108 Views
This lecture notes introduces Probability Models and Axioms . Probability as a mathematical frame work for reasoning about uncertainty. Topics covered...
6.041 / 6.431 20. Central Limit Theoremby LearnOnline Through OCW
3 Pages |89 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|70 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 13. Bernoulli Processby LearnOnline Through OCW
3 Pages |143 Views
Various topics covered in this lecture notes are 1. Definition of Bernoulli process 2. Random processes 3. Basic properties of Bernoulli process 4. Di...
6.041 / 6.431 14. Poisson Process - Iby LearnOnline Through OCW
3 Pages|129 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 15. Poisson Process - IIby LearnOnline Through OCW
3 Pages |134 Views
In this lecture notes we are going to continue withPoisson Process - II. This lesson described the following objectives: ...
6.041 / 6.431 10. Continuous Bayes Rule & Derived distributionsby LearnOnline Through OCW
3 Pages|110 Views
The tpoics discussed in this Lecture notes are 1.The Bayes variations 2.Continuous counterpart ( Discrete X, Continuous Y and Continuous X, Discrete ...
6.041 / 6.431 2. Conditioning and Bayes' Ruleby LearnOnline Through OCW
3 Pages |120 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|80 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 8. Continuous Random Variablesby LearnOnline Through OCW
3 Pages |75 Views
This lecture notes describes the following Topics: • Probability density functions • Cumulative distribution functions ...
6.041 / 6.431 21.Bayesian Statistical Inference - Iby LearnOnline Through OCW
3 Pages|133 Views
“It is the mark of truly educated people to be deeply moved by statistics.” -Oscar Wilde.This lecture notes introduces Bayesian Statistica...
6.041/6.431 22.Bayesian Statistical Inference - IIby LearnOnline Through OCW
3 Pages |109 Views
In this lecture notes we are going to continue with Bayesian Statistical Inference - II. Topics covered in this section are (Bayesian) Least Means Squ...
6.041 / 6.431 23. Classical Statistical Inference - Iby LearnOnline Through OCW
3 Pages|82 Views
This lecture notes introduces Classical Statistical Inference . Various topics covered under this section are: 1. Classical statistics...
6.041/6.431 24. Classical Statistical Inference - IIby LearnOnline Through OCW
3 Pages |79 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 7. Multiple Discrete Random Variablesby LearnOnline Through OCW
3 Pages|112 Views
In this lecture notes we are going to continue with Multiple Discrete Random Variables and This lesson described the following objectives:•...
6.041 / 6.431 9. Multiple Continuous Random Variablesby LearnOnline Through OCW
3 Pages |97 Views
This lesson reviews PDF(Probability density functions) and introduces Multiple random variables, conditioning and independence.Conditioning is explain...
6.041 / 6.431 16. Markov Chains - Iby LearnOnline Through OCW
3 Pages|106 Views
This lecture notes introduces Markov Chains and various topics discussed under this section are: • Check out counter example ...
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