Shortest Path: Properties of the Algorithm

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

Explores dynamic programming with Bellman-Ford, Dijkstra, greedy strategies, and activity scheduling problems.

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

Covers optimization algorithms, stable matching, and Big-O notation for algorithm efficiency.

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

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

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

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

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

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