Network Flows : Theory, Algorithms, and Applications

Ahuja, Ravindra K.; Magnanti, T. L.; Orlin, James B.

ISBN 10: 013617549X ISBN 13: 9780136175490

Published by Pearson, 1993

Language: English

Condition: Used - As new Hardcover

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Bibliographic Details

Title

Network Flows : Theory, Algorithms, and Applications

Publisher

Pearson

Publication Date

1993

Language

English

ISBN 10

013617549X

ISBN 13

9780136175490

Binding

Hardcover

Condition

As New

Seller catalogs

About this title

Synopsis

A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms, and applications.

presents in-depth, self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including descriptions of polynomial-time algorithms for these core models.

emphasizes powerful algorithmic strategies and analysis tools such as data scaling, geometric improvement arguments, and potential function arguments.

provides an easy-to-understand descriptions of several important data structures, including d-heaps, Fibonacci heaps, and dynamic trees.

devotes a special chapter to conducting empirical testing of algorithms.

features over 150 applications of network flows to a variety of engineering, management, and scientific domains.

contains extensive reference notes and illustrations.

Synopsis

A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms and applications.* presents in-depth, self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including descriptions of polynomial-time algorithms for these core models. * emphasizes powerful algorithmic strategies and analysis tools such as data scaling, geometric improvement arguments, and potential function arguments. * provides an easy-to-understand descriptions of several important data structures, including d-heaps, Fibonacci heaps, and dynamic trees. * devotes a special chapter to conducting empirical testing of algorithms. * features over 150 applications of network flows to a variety of engineering, management, and scientific domains. * contains extensive reference notes and illustrations.

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