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Lecture
Max-flow Min-cut Theorem
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Related lectures (32)
Graph Algorithms: Ford-Fulkerson and Strongly Connected Components
Discusses the Ford-Fulkerson method and strongly connected components in graph algorithms.
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Linear Programming Duality
Explores linear programming duality, covering constraints, variables, solutions, and the relationship between primal and dual LP.
Unweighted Bipartite Matching
Introduces unweighted bipartite matching and its solution using linear programming and the simplex method.
Max-flow Min-cut Theorem
Explores the equivalence between maximum flow and minimum cut in network theory, demonstrating its applications through examples and edge-disjoint paths.
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Maximum Flow: Theory and Applications
Explores maximum flow in graphs, covering Ford-Fulkerson algorithm, flow conservation, and minimum cut.
Ford-Fulkerson Method: Disjoint-set Data Structures
Explores the Ford-Fulkerson method for maximal flow and disjoint-set data structures.
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Covers flow networks, focusing on flows, cuts, and their applications in algorithms.
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Explores the optimality of the greedy change-making algorithm and the stability of maximum matching.
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Algorithms: Stable Matchings
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Max-flow and Disjoint Sets
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Explores the Ford-Fulkerson method, max-flow, applications of max-flow, and the disjoint-set data structure.
Ford-Fulkerson Method
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Introduces the Ford-Fulkerson Method to find the maximum flow in a network.
Max-Flow Problem: Ford-Fulkerson Algorithm
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Explores the Ford-Fulkerson algorithm for solving the Max-Flow problem and its applications in network flow optimization.
Ford-Fulkerson Method: Max Flow and Min Cut
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Explores the Ford-Fulkerson method for finding max flow and min cut in a network.
Bounded Network Flow: Solvable Minult-Maxcret Problem
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Covers solving bounded network flow problems by adjusting flow capacities and constraints, including binary programs.
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