Randomized Optimization Techniques

Mathematics

2024-01-22

Lessons List

Randomized Algorithms Intro Video

Lecture 1 Introduction to Randomized Algorithms

Lecture 2 Randomized Mincut Algorithm

Lecture 3 Randomized Find

Lecture 4 Probability Review

Lecture 5 Expectation of Random Variables

Lec 6 Conditional Probability and Conditional Expectation2

Lec 7 Birthday Paradox

Lecture 8 Markov and Chebychev s Inequalities

Lecture 9 Median Algorithm

Lecture 10 Chernoff Bound

Lec 11 Permutation Routing on a Hypercube

Lec 12 Permutation Routing on a Hypercube Analysis

Lec 13 Introduction to Probabilistic Method

Lec 14 More Examples on Probabilistic Method

Lec 15 Lovasz Local Lemma

Lec 16 Introduction to Markov Chains

Lec 17 2 SAT and Markov Chains

Lec 18 3 SAT and Markov Chains

Lec 19 Electrical Networks

Lec 20 Cover Time

Lec 21 Rapid Mixing

Lec 22 Introduction to Computational Complexity

Lec 23 Pratt s Certificate

Lec 24 Primality Testing

Lec 25 Miller Rabin Algorithm

Lec 26 All pair shortest path I

Lec 27 All pair shortest path II

Lec 28 Randomized MST

Lec 29 Introduction to approximate counting

Lec 30 DNF counting

Lec 31 Perfect Matching I

Lec 32 Perfect Matching II

Lec 33 Perfect Matching III

Lec 34 Treaps

Lec 35 Hashing

Lec 36 Probabilistically checkable proofs I

Lec 37 Probabilistically checkable proofs II

Lec 38 Probabilistically checkable proofs III

Lec 39 LFKN Protocol

Lec 40 Summary

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Randomized Optimization course in hindi, in this course we will learn about randomized algorithms for solving optimization problems efficiently and effectively.

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Randomized Optimization Techniques

Mathematics

Randomized Algorithms Intro Video

Lecture 1 Introduction to Randomized Algorithms

Lecture 2 Randomized Mincut Algorithm

Lecture 3 Randomized Find

Lecture 4 Probability Review

Lecture 5 Expectation of Random Variables

Lec 6 Conditional Probability and Conditional Expectation2

Lec 7 Birthday Paradox

Lecture 8 Markov and Chebychev s Inequalities

Lecture 9 Median Algorithm

Lecture 10 Chernoff Bound

Lec 11 Permutation Routing on a Hypercube

Lec 12 Permutation Routing on a Hypercube Analysis

Lec 13 Introduction to Probabilistic Method

Lec 14 More Examples on Probabilistic Method

Lec 15 Lovasz Local Lemma

Lec 16 Introduction to Markov Chains

Lec 17 2 SAT and Markov Chains

Lec 18 3 SAT and Markov Chains

Lec 19 Electrical Networks

Lec 20 Cover Time

Lec 21 Rapid Mixing

Lec 22 Introduction to Computational Complexity

Lec 23 Pratt s Certificate

Lec 24 Primality Testing

Lec 25 Miller Rabin Algorithm

Lec 26 All pair shortest path I

Lec 27 All pair shortest path II

Lec 28 Randomized MST

Lec 29 Introduction to approximate counting

Lec 30 DNF counting

Lec 31 Perfect Matching I

Lec 32 Perfect Matching II

Lec 33 Perfect Matching III

Lec 34 Treaps

Lec 35 Hashing

Lec 36 Probabilistically checkable proofs I

Lec 37 Probabilistically checkable proofs II

Lec 38 Probabilistically checkable proofs III

Lec 39 LFKN Protocol

Lec 40 Summary

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