Introduction to Shortest Path

Related lectures (29)

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

Explores critical phenomena in complex systems, including stochastic objects, percolation, and combinatorial optimization.

Introduces graph theory, network flows, and flow conservation laws with practical examples and theorems.

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

Explores the design of heat exchanger networks, optimizing connections and configurations for efficient heat recovery.

Focuses on open problems and the importance of reformulating problems with better tools and intuition.

Examines NP problems, graph coloring, path optimization, and computational complexity distinctions in P and NP classes.

Explores a variety of open problems in graph theory and computational complexity, challenging students to analyze and solve complex issues.

Covers the implementation and analysis of disjoint sets data structure and introduces the concept of minimum spanning trees.