Network flow algorithms

Network flow algorithms

by Williamson, David P.

Type Book
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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 algori…

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Title Statements

  • Full title :Network flow algorithms / David P. Williamson.

Summary

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

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Edition Statements

  • Publication Date:© 2019

Publication Statements

The Physical Object

  • Description:xii, 314 p. : : ill.

Edition Identifiers

  • ISBN:1107185890, 1316636836, 9781107185890, 9781316636831
  • oclc:on1134663941
  • LC Classification:T57.85
  • Dewey Decimal:003

Table of Contents

1. Preliminaries: shortest path algorithms ; 2. Maximum flow algorithms ; 3. Global minimum cut algorithms ; 4. More maximum flow algorithms ; 5. Minimum-cost circulation algorithms ; 6. Generalized flow algorithms ; 7. Multicommodity flow algorithms ; 8. Electrical flow algorithms ; 9. Open questions

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