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Related lectures (28)
Graph Algorithms: Basics
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Introduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.
Graph Algorithms: BFS and DFS
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Explores graph algorithms like BFS and DFS, discussing shortest paths, spanning trees, and data structures' role.
Graph Algorithms: Modeling and Representation
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Covers the basics of graph algorithms, focusing on modeling and representation of graphs in memory.
Bellman Ford Algorithm
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Explores the Bellman Ford algorithm for finding the shortest path in graphs with negative edge weights.
Dynamic Programming: Bellman-Ford and Dijkstra
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Explores dynamic programming with Bellman-Ford, Dijkstra, greedy strategies, and activity scheduling problems.
Minimum Spanning Trees
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Covers the implementation and analysis of disjoint sets data structure and introduces the concept of minimum spanning trees.
Graphs and Networks: Basics and Applications
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Introduces the basics of graphs and networks, covering definitions, paths, trees, flows, circulation, and spanning trees.
Network Flow Algorithms
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Covers network flow algorithms, including Max Flow, Min Cut, and Negative Cost Cycle Algorithm, progressing from basic definitions to advanced algorithms like Bellman-Ford and Dijkstra's.
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