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Computer Algorithms 2

Computer Algorithms 2. Instructor: Prof. Dr. Shashank K. Mehta, Department of Computer Science and Engineering, IIT Kanpur. The course discusses efficient algorithms from a large number of domains. This course assumes the knowledge of data-structures, the knowledge big-O notation and the concept of time and space complexity of an algorithm. And also it will not introduce divide and conquer, dynamic programming, and greedy paradigms. This course will discuss graph algorithms, network-flow algorithms, geometric algorithms, string matching, matrix algorithms, polynomial computation algorithms, and number theoretic algorithms. (from nptel.ac.in)

Lecture 26 - Schonhage-Strassen Algorithm

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Lecture 01 - Graph Basics

Lecture 02 - Breadth First Search

Lecture 03 - Dijkstra's Algorithm

Lecture 04 - All Pair Shortest Path

Lecture 05 - Matriods

Lecture 06 - Minimum Spanning Tree

Lecture 07 - Edmonds' Matching Algorithm I

Lecture 08 - Edmonds' Matching Algorithm II

Lecture 09 - Flow Networks

Lecture 10 - Ford-Fulkerson Method

Lecture 11 - Edmonds-Karp Algorithm

Lecture 12 - Matrix Inversion

Lecture 13 - Matrix Decomposition

Lecture 14 - Knuth-Morris-Pratt Algorithm

Lecture 15 - Rabin-Karp Algorithm

Lecture 16 - NFA Simulation

Lecture 17 - Integer-Polynomial Operations I

Lecture 18 - Integer-Polynomial Operations II

Lecture 19 - Integer-Polynomial Operations III

Lecture 20 - Chinese Remainder Theorem I

Lecture 21 - Chinese Remainder Theorem II

Lecture 22 - Chinese Remainder Theorem III

Lecture 23 - Discrete Fourier Transforms I

Lecture 24 - Discrete Fourier Transforms II

Lecture 25 - Discrete Fourier Transforms III

Lecture 26 - Schonhage-Strassen Algorithm

Lecture 27 - Linear Programming I

Lecture 28 - Linear Programming II

Lecture 29 - Geometric Algorithms I

Lecture 30 - Geometric Algorithms II

Lecture 31 - Geometric Algorithms III

Lecture 32 - Approximation Algorithms I

Lecture 33 - Approximation Algorithms II

Lecture 34 - Approximation Algorithms III

Lecture 35 - Dynamic Programming