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Maximum flow algorithms determine the optimal flow through a network from "summary" of Data Structures and Algorithms in Python by Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser

Maximum flow algorithms are used to determine the optimal flow through a network. In a network, flow refers to the movement of a quantity from a source to a sink through various paths. The goal is to find the maximum amount of flow that can be sent from the source to the sink, without violating capacity constraints on the edges. These algorithms are essential in various real-world applications, such as transportation networks, communication networks, and supply chain management. By finding the maximum flow through a network, businesses can optimize their operations and resources, leading to increased efficiency and cost savings. The concept of maximum flow algorithms is based on the principle of flow conservation, which states that the total flow into a node must equal the total flow out of that node. This principle is crucial in ensuring that the flow t...
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    Data Structures and Algorithms in Python

    Michael T. Goodrich

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