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.����Read more
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