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Related lectures (29)
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Shortest Path Algorithms: BFS and Dijkstra
Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.
Graphs and Networks: Basics and Applications
Introduces the basics of graphs and networks, covering definitions, paths, trees, flows, circulation, and spanning trees.
Sparsest Cut: Leighton-Rao Algorithm
Covers the Leighton-Rao algorithm for finding the sparsest cut in a graph, focusing on its steps and theoretical foundations.
Networked Control Systems: Coordination Among Agents
Explores coordination among agents in networked control systems through graph theory and real-world examples.
Graph Algorithms II: Traversal and Paths
Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.
Graph Theory Fundamentals
Covers the fundamentals of graph theory, including vertices, edges, degrees, walks, connected graphs, cycles, and trees, with a focus on the number of edges in a tree.
Graph Algorithms: Basics
Introduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.
Handling Networks: Graph Theory
Covers the fundamentals of handling networks and centrality measures in graph theory.
Graph Coloring: Random vs Symmetrical
Compares random and symmetrical graph coloring in terms of cluster colorability and equilibrium.
Graphs: Properties and Representations
Covers graph properties, representations, and traversal algorithms using BFS and DFS.
