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Network Flow Algorithms

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NOW LET US Article – Network Flow Algorithms

Network flow theory is a fundamental tool across computer science and operations research, used to model everything from logistics to image segmentation. This comprehensive text presents efficient combinatorial algorithms and recent advancements in the field.

Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory.

An electronic-only edition of the book is provided in the Download section.

Below you can download an electronic-only copy of the book. The electronic-only book is published on this website with the permission of Cambridge University Press. One copy per user may be taken for personal use only and any other use you wish to make of the work is subject to the permission of Cambridge University Press ([email protected]). You may not post this file on any other website.

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