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Springer Combinatorial Optimization: Theory and Algorithms: 21 (Algorithms and Combinatorics, 21)

Name: Combinatorial Optimization: Theory and Algorithms: 21 (Algorithms and Combinatorics, 21)
Brand: Springer

Decision Making

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This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the fundamentals, covers the classical topics (paths, flows, matching, matroids, NP-completeness, approximation algorithms) in detail, and proceeds to advanced and recent topics, some of which have not appeared in a textbook before. Throughout, it contains complete but concise proofs, and also provides numerous exercises and references. This sixth edition has again been updated, revised, and significantly extended. Among other additions, there are new sections on shallow-light trees, submodular function maximization, smoothed analysis of the knapsack problem, the (ln 4+ɛ)-approximation for Steiner trees, and the VPN theorem. Thus, this book continues torepresent the state of the art of combinatorial optimization.

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Brand: Springer
Format: Paperback
ASIN: 3662585669
Category: Books > Subjects > Business, Finance & Law > Management > Management Skills > Decision Making
Domain: Amazon UK
Release Date: 11 January 2019
Listed Since: 10 January 2019

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Springer Combinatorial Optimization: Theory and Algorithms: 21 (Algorithms and Combinatorics, 21)

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