9780136175490-013617549X-Network Flows: Theory, Algorithms, and Applications

Network Flows: Theory, Algorithms, and Applications

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Summary

Network Flows: Theory, Algorithms, and Applications (ISBN-13: 9780136175490 and ISBN-10: 013617549X), written by authors Ravindra Ahuja, Thomas Magnanti, James Orlin, was published by Pearson in 1993. With an overall rating of 4.1 stars, it's a notable title among other Decision-Making & Problem Solving (Management & Leadership, Decision Making, Business Skills, Computer Certification, Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Telecommunications & Sensors, Engineering) books. You can easily purchase or rent Network Flows: Theory, Algorithms, and Applications (Hardcover, Used) from BooksRun, along with many other new and used Decision-Making & Problem Solving books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $19.27.

Description

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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