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Related lectures (26)

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Introduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.

Discusses the Ford-Fulkerson method and strongly connected components in graph algorithms.

Focuses on fixed points in graph theory and their implications in algorithms and analysis.

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

Explores graph algorithms like BFS and DFS, discussing shortest paths, spanning trees, and data structures' role.

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

Covers the basics of graph algorithms, focusing on modeling and representation of graphs in memory.

Explores the Bellman Ford algorithm for finding the shortest path in graphs with negative edge weights.

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

Explains the Bellman-Ford algorithm for finding the shortest path in a directed graph with edge weights.