Network Flows Theory, Algorithms and Applications PDF Download Ebook. Ravindra K. Ahuja, Thomas L. Magnanti and James B. Orlin bring the classic and the contemporary aspects with comprehensive introduction to network flows by providing an integrative view of theory, algorithms, and applications. It offers in-depth and self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including a description of new and novel polynomial-time algorithms for these core models.
This book is aimed for professionals working with network flows, optimization, and network programming. It emphasizes powerful algorithmic strategies and analysis tools such as data scaling, geometric improvement arguments, and potential function arguments.
This text provides easy-to-understand descriptions of several important data structures, including d-heaps, Fibonacci heaps, and dynamic trees. It devotes a special chapter to conducting empirical testing of algorithms with over 150 applications of network flows to a variety of engineering, management, scientific domains, extensive reference notes and illustrations.
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