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Related lectures (26)

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Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.

Covers graph algorithms, modeling relationships between objects, and traversal techniques like BFS and DFS.

Covers Dijkstra's algorithm and its application to the all-pairs shortest path problem.

Introduces Dijkstra's algorithm and probabilistic analysis through the Hiring Problem.

Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.

Introduces the Bellman-Ford algorithm for finding shortest paths in directed graphs with edge weights.

Covers Dijkstra's algorithm for shortest path problems and its application in ALL-TO-ONE and ALL-PAIRS algorithms.

Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.

Covers Minimum Spanning Trees, Kruskal's Algorithm, and Shortest Paths in directed graphs.

Covers finding the shortest path in directed graphs efficiently using algorithmic approaches and discussing related NP-complete problems.