Introduction to Shortest Path

Related lectures (29)

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

Explores dynamic programming through Pascal's Triangle and Floyd's Algorithm.

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

Explores dynamic programming for the Knapsack problem, discussing strategies, algorithms, NP-hardness, and time complexity analysis.

Explores dynamic programming strategies for finding shortest paths in networks with various algorithms and complexities.

Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

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

Explores maximizing diversity in document selection, graph clique determination, theorems on negative type, and convex optimization.

Covers linear programming duality and complementary slackness condition.

Demonstrates the iterative process of applying Dijkstra's algorithm to find optimal paths.