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NPTEL

Design and Analysis of Algorithms

NPTEL and Indian Institute of Technology Bombay via YouTube

Syllabus

Lecture - 1 Overview of the course.
Lecture - 2 Framework for Algorithms Analysis.
Lecture - 3 Algorithms Analysis Framework - II.
Lecture - 4 Asymptotic Notation.
Lecture -5 Algorithm Design Techniques : Basics.
Lecture -6 Divide And Conquer-I.
Lecture -7 Divide And Conquer -II Median Finding.
Lecture -8 Divide And Conquer -III Surfing Lower Bounds.
Lecture -9 Divide And Conquer -IV Closest Pair.
Lecture -10 Greedy Algorithms -I.
Lecture - 11 Greedy Algorithms - II.
Lecture - 12 Greedy Algorithms - III.
Lecture - 13 Greedy Algorithms - IV.
Lecture - 14 Pattern Matching - I.
Lecture - 15 Pattern Matching - II.
Lecture -16 Combinational Search and Optimization I.
Lecture - 17 Combinational Search and Optimization II.
Lecture -18 Dynamic Programming.
Lecture 19 Longest Common Subsequences.
Lecture -20 Matric Chain Multiplication.
Lecture - 21 Scheduling with Startup and Holding Costs.
Lecture - 22 Average case Analysis of Quicksort.
Lecture - 23 Bipartite Maximum Matching.
Lecture - 24 Lower Bounds for Sorting.
Lecture -25 Element Distinctness Lower Bounds.
Lecture -26 NP-Completeness-I -Motivation.
Lecture - 27 NP - Compliteness - II.
Lecture - 28 NP-Completeness - III.
Lecture - 29 NP-Completeness - IV.
Lecture - 30 NP-Completeness - V.
Lecture - 31 NP-Completeness - VI.
Lecture - 32 Approximation Algorithms.
Lecture - 33 Approximation Algorithms.
Lecture - 34 Approximation Algorithms for NP.

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nptelhrd

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