Combinatorial Optimization, Bruno Simeone

Автор: Sundaram, Rangarajan K.
Название: A First Course in Optimization Theory
ISBN: 0521497701 ISBN-13(EAN): 9780521497701
Издательство: Cambridge Academ
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Цена: 45410.00 T
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Описание: This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.

Автор: Korte, Bernhard, Vygen, Jens
Название: Combinatorial Optimization (algorithms and Combinatorics 21) 5th ed.
ISBN: 3642244874 ISBN-13(EAN): 9783642244872
Издательство: Springer
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Цена: 60510.00 T
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Описание: 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 fifth edition has again been updated, revised, and significantly extended, with more than 60 new exercises and new material on various topics, including Cayley's formula, blocking flows, faster b-matching separation, multidimensional knapsack, multicommodity max-flow min-cut ratio, and sparsest cut. Thus, this book represents the state of the art of combinatorial optimization.

Автор: Camelia-Mihaela Pintea
Название: Advances in Bio-inspired Computing for Combinatorial Optimization Problems
ISBN: 3642438776 ISBN-13(EAN): 9783642438776
Издательство: Springer
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Цена: 95770.00 T
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Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.

Автор: Gang Yu
Название: Industrial Applications of Combinatorial Optimization
ISBN: 0792350731 ISBN-13(EAN): 9780792350736
Издательство: Springer
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Цена: 194730.00 T
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Описание: Demonstrates industrial applications of combinatorial optimization - optimization that involves a discrete but large number of alternatives. This book describes a range of applications including Manpower planning, Production planning, Job sequencing and scheduling, Manufacturing layout design, Facility planning, and Vehicle scheduling and routing.

Автор: Andrea Lodi; Michela Milano; Paolo Toth
Название: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
ISBN: 3642135196 ISBN-13(EAN): 9783642135194
Издательство: Springer
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Цена: 69870.00 T
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Описание: Constitutes the refereed proceedings of the 7th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2010, held in Bologna, Italy, in June 2010.

Автор: Cl?udio Alves; Francois Clautiaux; Jos? Val?rio de
Название: Dual-Feasible Functions for Integer Programming and Combinatorial Optimization
ISBN: 3319276026 ISBN-13(EAN): 9783319276021
Издательство: Springer
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Цена: 71730.00 T
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Описание: This book provides a postgraduate audience the keys they need to understand and further develop a set of tools for the efficient computation of lower bounds and valid inequalities in integer programs and combinatorial optimization problems.

Автор: David Avis; Alain Hertz; Odile Marcotte
Название: Graph Theory and Combinatorial Optimization
ISBN: 1441938117 ISBN-13(EAN): 9781441938114
Издательство: Springer
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Цена: 102480.00 T
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Описание: Its techniques have been used in solving many classical problems including maximum flow problems, independent set problems, and the traveling salesman problem.Graph Theory and Combinatorial Optimization explores the field`s classical foundations and its developing theories, ideas and applications to new problems.

Автор: William J. Cook; L?szl? Lov?sz; Jens Vygen
Название: Research Trends in Combinatorial Optimization
ISBN: 364209547X ISBN-13(EAN): 9783642095474
Издательство: Springer
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Цена: 135090.00 T
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Описание: Written by leading experts in combinatorial optimization, this book features in-depth surveys of current research areas in combinatorial optimization in the broad sense. These range from applied graph theory to mathematical programming.

Автор: Ding-Zhu Du; Panos M. Pardalos
Название: Handbook of Combinatorial Optimization
ISBN: 1441936661 ISBN-13(EAN): 9781441936660
Издательство: Springer
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Цена: 213360.00 T
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Описание: This is a supplementary volume to the major three-volume Handbook of Combinatorial Optimization set. It can also be regarded as a stand-alone volume presenting chapters dealing with various aspects of the subject in a self-contained way.

Автор: Mustafa Akg?l; Horst W. Hamacher; S?leyman T?fekci
Название: Combinatorial Optimization
ISBN: 3642774911 ISBN-13(EAN): 9783642774911
Издательство: Springer
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Цена: 97820.00 T
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Описание: One of the primary goals of NATO ASIs is to bring together a group of scientists and research scientists primarily from the NATO countries for the dissemination of ad- vanced scientific knowledge and the promotion of international contacts among scientists.

Автор: Martin Gr?tschel; Laszlo Lovasz; Alexander Schrijv
Название: Geometric Algorithms and Combinatorial Optimization
ISBN: 3642782426 ISBN-13(EAN): 9783642782428
Издательство: Springer
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Цена: 121110.00 T
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Описание: Moreover, despite the success of the interior point methods for the solution of explicitly given linear programs there is still no method known that solves implicitly given linear programs, such as those described in this book, and that is both practically and theoretically efficient.

Автор: Carlos Cotta; Jano van Hemert
Название: Recent Advances in Evolutionary Computation for Combinatorial Optimization
ISBN: 3540708065 ISBN-13(EAN): 9783540708063
Издательство: Springer
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Цена: 181670.00 T
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Описание: Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. This title presents advances in the area of metaheuristic combinatorial optimisation, with a focus on evolutionary computation methods. It addresses local search methods and hybrid approaches.