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Fuzzy Mathematical Programming and Fuzzy Matrix Games, C. R. Bector; Suresh Chandra


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Автор: C. R. Bector; Suresh Chandra
Название:  Fuzzy Mathematical Programming and Fuzzy Matrix Games
ISBN: 9783642062650
Издательство: Springer
Классификация:







ISBN-10: 3642062652
Обложка/Формат: Paperback
Страницы: 236
Вес: 0.35 кг.
Дата издания: 21.10.2010
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Размер: 155 x 233 x 19
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Game theory has already proved its tremendous potential for con?ict resolution problems in the ?elds of Decision Theory and Economics. The objective of this book is to present a systematic and focussed study of the application of fuzzy sets to two very basic areas of decision theory, namely Mathematical Programming and Matrix Game Theory.


Mathematical Programming and Control Theory

Автор: B. D. Craven
Название: Mathematical Programming and Control Theory
ISBN: 0412155001 ISBN-13(EAN): 9780412155000
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Duality theory - the various nonlinear generaliz- ations of the well-known duality theorem of linear program- ming - is found relevant also to optimal control, and the , PREFACE Pontryagin theory for optimal control also illuminates finite dimensional problems.

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.

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.

Algorithmic Principles of Mathematical Programming

Автор: Ulrich Faigle; W. Kern; G. Still
Название: Algorithmic Principles of Mathematical Programming
ISBN: 9048161177 ISBN-13(EAN): 9789048161171
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature.
The book is equally suited for self-study for a motivated beginner and for a comprehensive course on the principles of mathematical programming within an applied mathematics or computer science curriculum at advanced undergraduate or graduate level. The presentation of the material is such that smaller modules on discrete optimization, linear programming, and nonlinear optimization can easily be extracted separately and used for shorter specialized courses on these subjects.

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.

Entropy Optimization and Mathematical Programming

Автор: Shu-Cherng Fang; J.R. Rajasekera; H.S.J. Tsao
Название: Entropy Optimization and Mathematical Programming
ISBN: 1461378109 ISBN-13(EAN): 9781461378105
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization.

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: 0792308875 ISBN-13(EAN): 9780792308874
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.

Linear Programming Models and Methods of Matrix Games with Payoffs of Triangular Fuzzy Numbers

Автор: Deng-Feng Li
Название: Linear Programming Models and Methods of Matrix Games with Payoffs of Triangular Fuzzy Numbers
ISBN: 3662484749 ISBN-13(EAN): 9783662484746
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The book offers a valuable resource for readers involved in theoretical research and practical applications from a range of different fields including game theory, operational research, management science, fuzzy mathematical programming, fuzzy mathematics, industrial engineering, business and social economics.

Linear Programming Models and Methods of Matrix Games with Payoffs of Triangular Fuzzy Numbers

Автор: Deng-Feng Li
Название: Linear Programming Models and Methods of Matrix Games with Payoffs of Triangular Fuzzy Numbers
ISBN: 3662515652 ISBN-13(EAN): 9783662515655
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The book offers a valuable resource for readers involved in theoretical research and practical applications from a range of different fields including game theory, operational research, management science, fuzzy mathematical programming, fuzzy mathematics, industrial engineering, business and social economics.

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.

Cones, Matrices and Mathematical Programming

Автор: Abraham Berman
Название: Cones, Matrices and Mathematical Programming
ISBN: 3540061231 ISBN-13(EAN): 9783540061236
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This monograph is a revised set of notes on recent applications of the theory of cones, arising from lectures I gave during my stay at the Centre de recherches mathematiques in Montreal. The second is devoted to applications to mathematical programming and the third to matrix theory.

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


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