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Titlebook: Combinatorial Optimization; Theory and Algorithm Bernhard Korte,Jens Vygen Textbook 2018Latest edition Springer-Verlag GmbH Germany, part o

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書(shū)目名稱Combinatorial Optimization
副標(biāo)題Theory and Algorithm
編輯Bernhard Korte,Jens Vygen
視頻videohttp://file.papertrans.cn/230/229960/229960.mp4
概述Well-written, popular textbook on combinatorial optimization.One of very few textbooks on this topic.Subject area has manifold applications.Offers complete but concise proofs, making it an invaluable
叢書(shū)名稱Algorithms and Combinatorics
圖書(shū)封面Titlebook: Combinatorial Optimization; Theory and Algorithm Bernhard Korte,Jens Vygen Textbook 2018Latest edition Springer-Verlag GmbH Germany, part o
描述.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+?)-approximation for Steiner trees, and the VPN theorem. Thus, this book continues torepresent the state of the art of combinatorial optimization..
出版日期Textbook 2018Latest edition
關(guān)鍵詞combinatorial optimization; discrete algorithms; mathematical programming; graphs; integer linear progra
版次6
doihttps://doi.org/10.1007/978-3-662-56039-6
isbn_softcover978-3-662-58566-5
isbn_ebook978-3-662-56039-6Series ISSN 0937-5511 Series E-ISSN 2197-6783
issn_series 0937-5511
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2018
The information of publication is updating

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Generalizations of Matroids, approaches to the problem of minimizing an arbitrary submodular function: one using the ., and one with a combinatorial algorithm. For the important special case of symmetric submodular functions we mention a simpler algorithm in Section?.. Finally, in Section?., we discuss the problem of maximizing a submodular function.
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https://doi.org/10.1007/978-0-8176-8214-9cally. Since both movements can be done simultaneously, the time needed to adjust the machine from one position to another is proportional to the maximum of the horizontal and the vertical distance. This is often called the ..-distance.
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Raffaele Testorelli,Anna Tiso,Chiara Verbano approaches to the problem of minimizing an arbitrary submodular function: one using the ., and one with a combinatorial algorithm. For the important special case of symmetric submodular functions we mention a simpler algorithm in Section?.. Finally, in Section?., we discuss the problem of maximizing a submodular function.
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