sub 2 sub Category
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