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Network Flows
Network Flows
Knygos.lt klubas Knygos.lt nariams
496,57 €
-30%
Įprastai
709,39 €
  • Išsiųsime per 12–18 d.d.
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…
  • Leidėjas:
  • ISBN-10: 013617549X
  • ISBN-13: 9780136175490
  • Formatas: 18.6 x 24.4 x 4.8 cm, kieti viršeliai
  • Kalba: Anglų

Network Flows (el. knyga) (skaityta knyga) | Ravindra Ahuja | knygos.lt

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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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    • Autorius: Ravindra Ahuja
    • Leidėjas:
    • ISBN-10: 013617549X
    • ISBN-13: 9780136175490
    • Formatas: 18.6 x 24.4 x 4.8 cm, kieti viršeliai
    • Kalba: Anglų

    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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