Dynamic Programming: Bellman-Ford and Dijkstra

Related lectures (29)

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

Covers coin rendering and the limitations of the greedy algorithm in finding optimal solutions.

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

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 the coin change problem, comparing greedy and dynamic programming algorithms for optimal solutions.

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.

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

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.