Maximum Flow Problem Explained | DSA Graph Algorithm
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Maximum Flow Problem Explained | DSA Graph Algorithm
In this video, we explain the Maximum Flow Problem — a classic graph algorithm that finds the maximum amount of flow from a source node to a sink node in a flow network. 🔍 Key Concepts Covered: • What is the Maximum Flow Problem? • Step-by-step working of the algorithm • Explanation of residual graphs and augmenting paths • Real ...
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There are many common variations of the maximum flow problem. Here are four of them. (a) There are many sources and many sinks, and we wish to maximize the total flow from all sources to all sinks. (b) Each vertex also has a capacity on the maximum flow that can enter it. (c) Each edge has not only a capacity, but also a lower bound on the flow it must carry. (d) The outgoing flow from each node u is not the same as the incoming flow, but is smaller by a factor of (1-ϵu), where ϵu is a loss coef
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There are many common variations of the maximum flow problem. Here are four of them. (a) There are many sources and many sinks, and we wish to maximize the total flow from all sources to all sinks. (b) Each vertex also has a capacity on the maximum flow that can enter it. (c) Each edge has not only a capacity, but also a lower bound on the flow it must carry. (d) The outgoing flow from each node u is not the same as the incoming flow, but is smaller by a factor of (1-ϵu), where ϵu is a loss coef
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