Transhipment and Shortest Paths

Related lectures (28)

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

Covers basic algorithm ingredients, search algorithms, control structures, and algorithm correctness.

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Covers search algorithms, focusing on abductive reasoning and heuristic search strategies.

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

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

Explores designing algorithms with recursion and dynamic programming, covering concepts like the Towers of Hanoi and efficient solutions.

Explains the properties of the shortest path algorithm and how to find the shortest path in a network.