Lectures related to Knapsack Problem: Dynamic Programming

Introduces Strongly Connected Components and Flow Networks, discussing algorithms and applications.

Explains the Bellman-Ford algorithm for finding the shortest path in a directed graph with edge weights.

Covers the basics of graph algorithms, focusing on modeling and representation of graphs in memory.

Introduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.

Discusses the Ford-Fulkerson method and strongly connected components in graph algorithms.

Explores the Tower of Hanoi algorithm, recursion, and dynamic programming in solving problems efficiently.

Covers the fundamentals of integer programming and network flows in directed graphs.

Focuses on fixed points in graph theory and their implications in algorithms and analysis.