Dijkstra's Algorithm and Shortest Path

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

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

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

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

Introduces the concept of shortest path, discussing weighted paths, Hamiltonian paths, and path optimization algorithms.

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

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

Covers the Bellman-Ford and Dijkstra algorithms for finding shortest paths in graphs with different edge weights.

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

Covers linear programming duality and complementary slackness condition.