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Algorithms and Model Formulations in Mathematical Programming, Stein W. Wallace


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Автор: Stein W. Wallace
Название:  Algorithms and Model Formulations in Mathematical Programming
ISBN: 9783642837265
Издательство: Springer
Классификация:




ISBN-10: 3642837263
Обложка/Формат: Paperback
Страницы: 191
Вес: 0.34 кг.
Дата издания: 30.05.2012
Серия: Nato ASI Subseries F:
Язык: English
Размер: 244 x 170 x 11
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Proceedings of the NATO Advanced Research Workshop on Algorithms and Model Formulations in Mathematical Pro- gramming held in Bergen, Norway, June 15-19, 1987


Global formulations of lagrangian and hamiltonian dynamics on manifolds

Автор: Lee, Taeyoung Leok, Melvin Mcclamroch, N. Harris
Название: Global formulations of lagrangian and hamiltonian dynamics on manifolds
ISBN: 3319569511 ISBN-13(EAN): 9783319569512
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book provides an accessible introduction to the variational formulation of Lagrangian and Hamiltonian mechanics, with a novel emphasis on global descriptions of the dynamics, which is a significant conceptual departure from more traditional approaches based on the use of local coordinates on the configuration manifold.

Variational Methods and Complementary Formulations in Dynamics

Автор: C. Tabarrok; F.P. Rimrott
Название: Variational Methods and Complementary Formulations in Dynamics
ISBN: 9048144221 ISBN-13(EAN): 9789048144228
Издательство: Springer
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Цена: 32651.00 р.
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Описание: A fascinating dis- cipline, analytical mechanics is not only indispensable for the solution of certain mechanics problems but also contributes so effectively towards a fundamental under- standing of the subject of mechanics and its applications.

Nondifferentiable and Two-Level Mathematical Programming

Автор: Kiyotaka Shimizu; Yo Ishizuka; Jonathan F. Bard
Название: Nondifferentiable and Two-Level Mathematical Programming
ISBN: 0792398211 ISBN-13(EAN): 9780792398219
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Provides an exposition of the techniques that are available for optimizing complex systems and to do so in a way that unifies the theory of nondifferentiable and two-level mathematical programming. This book also points out the useful algorithms developed for solving a particular instance of two-level problem known as a static Stackelberg game.

Entropy Optimization and Mathematical Programming

Автор: Shu-Cherng Fang; J.R. Rajasekera; H.S.J. Tsao
Название: Entropy Optimization and Mathematical Programming
ISBN: 0792399390 ISBN-13(EAN): 9780792399391
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. A systematic presentation with proper mathematical treatment of this material is needed in all application areas. The purpose of this book is to meet this need.

Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty

Автор: Shi-Yu Huang; Jaques Teghem
Название: Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty
ISBN: 9401074496 ISBN-13(EAN): 9789401074490
Издательство: Springer
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Цена: 41647.00 р.
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Описание: Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.

Mathematical Programming The State of the Art

Автор: A. Bachem; M. Gr?tschel; B. Korte
Название: Mathematical Programming The State of the Art
ISBN: 3642688764 ISBN-13(EAN): 9783642688768
Издательство: Springer
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Цена: 11878.00 р.
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Описание: In the late forties, Mathematical Programming became a scientific discipline in its own right. Since then it has experienced a tremendous growth. Beginning with economic and military applications, it is now among the most important fields of applied mathematics with extensive use in engineering, natural sciences, economics, and biological sciences. The lively activity in this area is demonstrated by the fact that as early as 1949 the first "Symposium on Mathe- matical Programming" took place in Chicago. Since then mathematical programmers from all over the world have gath- ered at the intfrnational symposia of the Mathematical Programming Society roughly every three years to present their recent research, to exchange ideas with their colleagues and to learn about the latest developments in their own and related fields. In 1982, the XI. International Symposium on Mathematical Programming was held at the University of Bonn, W. Germany, from August 23 to 27. It was organized by the Institut fUr Okonometrie und Operations Re- search of the University of Bonn in collaboration with the Sonderforschungs- bereich 21 of the Deutsche Forschungsgemeinschaft. This volume constitutes part of the outgrowth of this symposium and docu- ments its scientific activities. Part I of the book contains information about the symposium, welcoming addresses, lists of committees and sponsors and a brief review about the Ful- kerson Prize and the Dantzig Prize which were awarded during the opening ceremony.

New Trends in Mathematical Programming

Автор: F. Giannessi; S?ndor Koml?si; Tam?s Rapcs?k
Название: New Trends in Mathematical Programming
ISBN: 1441947930 ISBN-13(EAN): 9781441947932
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Though the volume covers 22 papers by 36 authors from 12 countries, the history in the background is bound to Hungary where, in 1973 Andras Pnkopa started to lay the foundation of a scientific forum, which can be a regular meeting spot for experts of the world in the field.

Computational Mathematical Programming

Автор: Klaus Schittkowski
Название: Computational Mathematical Programming
ISBN: 3642824528 ISBN-13(EAN): 9783642824524
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute on Computational Mathematical Programming, Held at Bad Windsheim, Federal Republic of Germany, July 23 - August 2, 1984

Redundancy in Mathematical Programming

Автор: M.H. Karwan; M.H. Karwan; V. Lotfi; J. Telgen; S.
Название: Redundancy in Mathematical Programming
ISBN: 3540115528 ISBN-13(EAN): 9783540115526
Издательство: Springer
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Цена: 15372.00 р.
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Описание: With contributions by numerous experts

A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions

Автор: H.J. Greenberg
Название: A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions
ISBN: 1461364280 ISBN-13(EAN): 9781461364283
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Welcome to ANALYZE, designed to provide computer assistance for analyzing linear programs and their solutions. Chapter 4 goes through some elementary exercises to demonstrate computer- assisted analysis and introduce additional conventions of the ANALYZE language.

Progress in Mathematical Programming

Автор: Nimrod Megiddo
Название: Progress in Mathematical Programming
ISBN: 1461396190 ISBN-13(EAN): 9781461396192
Издательство: Springer
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Цена: 14673.00 р.
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Описание: The starting point of this volume was a conference entitled "Progress in Mathematical Programming," held at the Asilomar Conference Center in Pacific Grove, California, March 1-4, 1987. The main topic of the conference was developments in the theory and practice of linear programming since Karmarkar's algorithm. There were thirty presentations and approximately fifty people attended. Presentations included new algorithms, new analyses of algorithms, reports on computational experience, and some other topics related to the practice of mathematical programming. Interestingly, most of the progress reported at the conference was on the theoretical side. Several new polynomial algorithms for linear program- ming were presented (Barnes-Chopra-Jensen, Goldfarb-Mehrotra, Gonzaga, Kojima-Mizuno-Yoshise, Renegar, Todd, Vaidya, and Ye). Other algorithms presented were by Betke-Gritzmann, Blum, Gill-Murray-Saunders-Wright, Nazareth, Vial, and Zikan-Cottle. Efforts in the theoretical analysis of algo- rithms were also reported (Anstreicher, Bayer-Lagarias, Imai, Lagarias, Megiddo-Shub, Lagarias, Smale, and Vanderbei). Computational experiences were reported by Lustig, Tomlin, Todd, Tone, Ye, and Zikan-Cottle. Of special interest, although not in the main direction discussed at the conference, was the report by Rinaldi on the practical solution of some large traveling salesman problems. At the time of the conference, it was still not clear whether the new algorithms developed since Karmarkar's algorithm would replace the simplex method in practice. Alan Hoffman presented results on conditions under which linear programming problems can be solved by greedy algorithms.

Decomposition Techniques in Mathematical Programming

Автор: Antonio J. Conejo; Enrique Castillo; Roberto Mingu
Название: Decomposition Techniques in Mathematical Programming
ISBN: 3642066070 ISBN-13(EAN): 9783642066078
Издательство: Springer
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Цена: 22201.00 р.
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Описание: Optimization plainly dominates the design, planning, operation, and c- trol of engineering systems. This is a book on optimization that considers particular cases of optimization problems, those with a decomposable str- ture that can be advantageously exploited. Those decomposable optimization problems are ubiquitous in engineering and science applications. The book considers problems with both complicating constraints and complicating va- ables, and analyzes linear and nonlinear problems, with and without in- ger variables. The decomposition techniques analyzed include Dantzig-Wolfe, Benders, Lagrangian relaxation, Augmented Lagrangian decomposition, and others. Heuristic techniques are also considered. Additionally, a comprehensive sensitivity analysis for characterizing the solution of optimization problems is carried out. This material is particularly novel and of high practical interest. This book is built based on many clarifying, illustrative, and compu- tional examples, which facilitate the learning procedure. For the sake of cl- ity, theoretical concepts and computational algorithms are assembled based on these examples. The results are simplicity, clarity, and easy-learning. We feel that this book is needed by the engineering community that has to tackle complex optimization problems, particularly by practitioners and researchersinEngineering, OperationsResearch, andAppliedEconomics.The descriptions of most decomposition techniques are available only in complex and specialized mathematical journals, di?cult to understand by engineers. A book describing a wide range of decomposition techniques, emphasizing problem-solving, and appropriately blending theory and application, was not previously available.


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