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.
- 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" may belong to another edition of 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.
"About this title" may belong to another edition of this title.
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Network Flows: Theory, Algorithms, and Applications
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