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Combinatorial optimization theory and algorithms 4th ed., Korte

Combinatorial optimization theory and algorithms 4th ed.

Автор: Korte
Название:  Combinatorial optimization theory and algorithms 4th ed.   (Теория комбинаторной оптимизации и алгоритмов (4-е изд.))
Издательство: Springer
Классификация:
Оптимизация

ISBN: 3540718435
ISBN-13(EAN): 9783540718437
ISBN: 3-540-71843-5
ISBN-13(EAN): 978-3-540-71843-7
Обложка/Формат: Hardback
Страницы: 645
Вес: 1.085 кг.
Дата издания: 18.10.2007
Серия: Algorithms and combinatorics
Язык: ENG
Издание: 4 rev ed
Иллюстрации: 77 black & white illustrations, 2 black & white tables, 77 black & white line drawings
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Рейтинг:
Поставляется из: Германии
Описание: A comprehensive textbook on combinatorial optimization that puts emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It contains a chapter on facility location problems.
Описание: Now fully updated in a third edition, this is a comprehensive textbook on combinatorial optimization. It puts special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. Recent topics are covered as well, and numerous references are provided.
Дополнительное описание: Main Subject: Mathematics
Edition: 4th ed.
Bibliography: XVIII, 627 p. 77 illus.
Subtitle: Theory and Algorithms
Subject1: M17009 Combinatorics
Subject2: M26016 Calculus of Variations and Optimal Control; Optimization
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Combinatorial Optimization (algorithms and Combinatorics 21) 5th ed.

Автор: Korte, Bernhard, Vygen, Jens
Название: Combinatorial Optimization (algorithms and Combinatorics 21) 5th ed.
ISBN: 3642244874 ISBN-13(EAN): 9783642244872
Издательство: Springer
Цена: 5001 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
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.
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Combinatorial Optimization / Polyhedra and Efficiency

Автор: Schrijver Alexander
Название: Combinatorial Optimization / Polyhedra and Efficiency
ISBN: 3540443894 ISBN-13(EAN): 9783540443896
Издательство: Springer
Цена: 10009 р.
Наличие на складе: Нет в наличии.
Описание: This book offers an in-depth overview of polyhedral methods and efficient algorithms in combinatorial optimization.These methods form a broad, coherent and powerful kernel in combinatorial optimization, with strong links to discrete mathematics, mathematical programming and computer science. In eight parts, various areas are treated, each starting with an elementary introduction to the area, with short, elegant proofs of the principal results, and each evolving to the more advanced methods and results, with full proofs of some of the deepest theorems in the area. Over 4000 references to further research are given, and historical surveys on the basic subjects are presented.
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Combinatorial Optimization / Polyhedra and Efficiency

Автор: Schrijver Alexander
Название: Combinatorial Optimization / Polyhedra and Efficiency
ISBN: 3540204563 ISBN-13(EAN): 9783540204565
Издательство: Springer
Цена: 7696 р.
Наличие на складе: Нет в наличии.
Описание: From the reviews:Schrijver's 3 volumes on combinatorial optimization reflect the current state of the art in this field, in particular from the viewpoint of polyhedral combinatorics and efficient algorithms. [...] The book offers a masterly introduction with many interesting historical remarks as well as an in-depth survey of combinatorial optimization. It is divided into eight main parts with 83 chapters. The main parts are (I) paths and flows, (II) bipartite matching and covering, (III) nonbipartite matching and covering, (IV) matroids and submodular functions, (V) trees, branchings and connectors, (VI) cliques, stable sets and colouring, (VII) multiflows and disjoint paths and, finally, (VIII) hypergraphs.[...] The reader is supposed to have a basic knowledge of graph theory and linear as well as integer programming. The author gives short and elegant proofs to all main results. [...]These three volumes contain an immense richness of results up to 2002 and will prove to be indispensible for any further research in the field of combinatorial optimization.Rainer E. Burkard (Graz) Zentralblatt Math Database, 2003 [..] Now comes Schrijver's book, a current and extremely comprehensive account, running 1,451 pages; by itself the bibliography would make a long book. But even as the book provides reference material to satisfy the experts, strong undergraduates will profit by dipping straight into nearly any chapter. Mathematics and computer science students should consult it, both to supplement their theoretical coursework or to find algorithms for practical projects. Summing Up: All three books: Recommended. Upper-division undergraduates through faculty. American Library Association, 2003
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The Cross-Entropy Method / A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning

Автор: Rubinstein Reuven Y., Kroese Dirk P.
Название: The Cross-Entropy Method / A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning
ISBN: 038721240X ISBN-13(EAN): 9780387212401
Издательство: Springer
Цена: 5925 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: The cross-entropy (CE) method is one of the most significant developments in stochastic optimization and simulation in recent years. This book explains in detail how and why the CE method works. The CE method involves an iterative procedure where each iteration can be broken down into two phases: (a) generate a random data sample (trajectories, vectors, etc.) according to a specified mechanism; (b) update the parameters of the random mechanism based on this data in order to produce a "better" sample in the next iteration. The simplicity and versatility of the method is illustrated via a diverse collection of optimization and estimation problems.Reuven Y. Rubinstein is the Milford Bohm Professor of Management at the Faculty of Industrial Engineering and Management at the Technion (Israel Institute of Technology). His primary areas of interest are stochastic modelling, applied probability, and simulation. He has written over 100 articles and has published five books. He is the pioneer of the well-known score-function and cross-entropy methods.Dirk P. Kroese is an expert on the cross-entropy method. He has published close to 40 papers in a wide range of subjects in applied probability and simulation. He is on the editorial board of Methodology and Computing in Applied Probability and is Guest Editor of the Annals of Operations Research. He has held research and teaching positions at Princeton University and The University of Melbourne, and is currently working at the Department of Mathematics of The University of Queensland.Computing Reviews, Stochastic Programming November, 2004"...I wholeheartedly recommend this book to anybody who is interested in stochastic optimization or simulation-based performance analysis of stochastic systems." Gazette of the Australian Mathematical Society, vol. 32 (3) 2005"This book describes the cross-entropy method for a range of optimization problems. … It is a substantial contribution to stochastic optimization and more generally to the stochastic numerical methods theory." (V.V.Fedorov, Short Book Reviews, Vol. 25 (1), 2005)"Since the CE method is a young and developing field, there is no book available in this area where the two authors are the pioneers. Therefore, it is quite a unique book and it may become a classic reference in the CE method literature." Technometrics, February 2005
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Graph Theory and Combinatorial Optimization

Автор: Avis David, Hertz Alain, Marcotte Odile
Название: Graph Theory and Combinatorial Optimization
ISBN: 0387255915 ISBN-13(EAN): 9780387255910
Издательство: Springer
Цена: 5386 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: The techniques of graph theory have been used in solving many classical problems. This book explores the field`s classical foundations and its developing theories, ideas and applications to new problems. It also examines the geometric properties of graph theory and its widening uses in combinatorial optimization theory and application.
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Optimization with Multivalued Mappings / Theory, Applications and Algorithms

Автор: Dempe Stephan, Kalashnikov Vyacheslav
Название: Optimization with Multivalued Mappings / Theory, Applications and Algorithms
ISBN: 0387342206 ISBN-13(EAN): 9780387342207
Издательство: Springer
Цена: 5925 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: In the field of nondifferentiable nonconvex optimization, one of the most intensely investigated areas is that of optimization problems involving multivalued mappings in constraints or as the objective function. This book focuses on the tremendous development in the field that has taken place since the publication of the most recent volumes on the subject. The new topics studied include the formulation of optimality conditions using different kinds of generalized derivatives for set-valued mappings (such as, for example, the coderivative of Mordukhovich), the opening of new applications (e.g., the calibration of water supply systems), or the elaboration of new solution algorithms (e.g., smoothing methods). The book is divided into three parts. The focus in the first part is on bilevel programming. The chapters in the second part contain investigations of mathematical programs with equilibrium constraints. The third part is on multivalued set-valued optimization. The chapters were written by outstanding experts in the areas of bilevel programming, mathematical programs with equilibrium (or complementarity) constraints (MPEC), and set-valued optimization problems.
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Practical Mathematical Optimization / An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms

Автор: Snyman Jan A.
Название: Practical Mathematical Optimization / An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
ISBN: 0387243488 ISBN-13(EAN): 9780387243481
Издательство: Springer
Цена: 9005 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: Presents basic optimization principles and gradient-based algorithms to a general audience. This work pays attention to the difficulties - such as noise, discontinuities, expense of function evaluations, and the existence of multiple minima - that often unnecessarily inhibit the use of gradient-based methods.
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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming / Theory, Algorithms, Software, and Applications

Автор: Tawarmalani M., Sahinidis Nikolaos V.
Название: Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming / Theory, Algorithms, Software, and Applications
ISBN: 1402010311 ISBN-13(EAN): 9781402010316
Издательство: Springer
Цена: 13856 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This book provides an insightful and comprehensive treatment of convexification and global optimization of continuous and mixed-integer nonlinear programs. Developed for students, researchers, and practitioners, the book covers theory, algorithms, software, and applications. This thought-provoking book: -develops a powerful and widely-applicable framework for constructing closed-form expressions of convex envelopes of nonlinear functions; -presents a systematic treatment of branch-and-bound, while providing acceleration mechanisms and enhancements; -unifies ideas at the interface between operations research and computer science, devising efficient algorithmic implementation for global optimization; offers students, modelers, and algorithm developers a rich collection of models, applications, and numerical examples; -elucidates through geometric interpretations the concepts discussed throughout the book; -shows how optimization theory can lead to breakthroughs in diverse application areas, including molecular design, process and product design, facility location, and supply chain design and operation; -demonstrates that the BARON software developed by the authors can solve global optimization problems heretofore considered intractable, in an entirely automated manner on a personal computer.Audience: This book will be of interest to researchers in operations research, management science, applied mathematics, computer science, computational chemistry, and all branches of engineering. In addition, the book can be used in graduate level courses in nonlinear optimization, integer programming, global optimization, convex analysis, applied mathematics, and engineering design.
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Practical Mathematical Optimization / An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms

Автор: Snyman Jan A.
Название: Practical Mathematical Optimization / An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
ISBN: 038729824X ISBN-13(EAN): 9780387298245
Издательство: Springer
Цена: 5155 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This book presents basic optimization principles and gradient-based algorithms to a general audience in a brief and easy-to-read form, without neglecting rigor. The work should enable professionals to apply optimization theory and algorithms to their own particular practical fields of interest, be it engineering, physics, chemistry, or business economics. Most importantly, for the first time in a relatively brief and introductory work, due attention is paid to the difficulties – such as noise, discontinuities, expense of function evaluations, and the existence of multiple minima – that often unnecessarily inhibit the use of gradient-based methods. In a separate chapter on new gradient-based methods developed by the author and his coworkers, it is shown how these difficulties may be overcome without losing the desirable features of classical gradient-based methods.
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Optimization and Control of Bilinear Systems / Theory, Algorithms, and Applications

Автор: Pardalos Panos M., Yatsenko Vitaliy
Название: Optimization and Control of Bilinear Systems / Theory, Algorithms, and Applications
ISBN: 0387736689 ISBN-13(EAN): 9780387736686
Издательство: Springer
Цена: 8469 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: The purpose of this book is to acquaint the reader with the developments in bilinear systems theory and its applications. Bilinear systems can be used to represent a wide range of physical, chemical, biological, and social systems, as well as manufacturing processes, which cannot be effectively modeled under the assumption of linearity. This book provides a unified approach for the identification and control of nonlinear complex objects that can be transformed into bilinear systems, with a focus on the control of open physical processes functioning in a non-equilibrium mode.  A wide class of non-linear control systems can be approximated using novel algorithms motivated by bilinear models. The goal of this book is to describe new methods, heuristics, and optimality criteria with less demanding computational complexity than exact criteria that result in robust adaptive algorithms. Emphasis is placed on three primary disciplines influencing bilinear systems theory: modern differential geometry, control of dynamical systems, and optimization theory.
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Online stochastic combinatorial optimization

Автор: Hentenryck, Pascal Van Bent, Russell
Название: Online stochastic combinatorial optimization
ISBN: 0262220806 ISBN-13(EAN): 9780262220804
Издательство: MIT Press
Цена: 1844 р.
Наличие на складе: Нет в наличии.
Описание: Online decision making under uncertainty and time constraints represents one of the most challenging problems for robust intelligent agents. This book presents a different framework, online stochastic optimization, to address this challenge. It offers online stochastic algorithms implementing the framework, and demonstrates a many applications.
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Combinatorial Optimization

Автор: Paschos
Название: Combinatorial Optimization
ISBN: 1848211465 ISBN-13(EAN): 9781848211469
Издательство: Wiley
Цена: 34936 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
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Concepts of Combinatorial Optimization

Автор: Paschos
Название: Concepts of Combinatorial Optimization
ISBN: 1848211473 ISBN-13(EAN): 9781848211476
Издательство: Wiley
Цена: 12848 р.
Наличие на складе: Поставка под заказ.
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