Minimum Spanning Trees

Related lectures (30)

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

Demonstrates the iterative process of applying Dijkstra's algorithm to find optimal paths.

Introduces spanning trees in graphs and the Minimum Spanning Tree problem, exploring efficient algorithms for optimal decision-making.

Covers minimum spanning trees, disjoint-set data structures, union methods, and Prim's algorithm for finding minimum spanning trees.

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

Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.

Explores maximizing diversity in document selection, graph clique determination, theorems on negative type, and convex optimization.

Explores distances on graphs, cut norms, spanning trees, blockmodels, metrics, norms, and ERGMs in network data analysis.

Explores Cheeger's inequalities for random walks on graphs and their implications.

Distinguishes between subgraphs and induced subgraphs in graph theory, illustrating the construction of minimal spanning trees.