Dynamic Programming: Shortest Paths Algorithms

Related lectures (29)

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Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.

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

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

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

Introduces unweighted bipartite matching and its solution using linear programming and the simplex method.

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

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

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

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

Covers the basics of information theory, entropy, and fixed points in graph colorings and the Ising model.