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Redundancy in Mathematical Programming, M.H. Karwan; M.H. Karwan; V. Lotfi; J. Telgen; S.


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Автор: M.H. Karwan; M.H. Karwan; V. Lotfi; J. Telgen; S.
Название:  Redundancy in Mathematical Programming
ISBN: 9783540115526
Издательство: Springer
Классификация:

ISBN-10: 3540115528
Обложка/Формат: Paperback
Страницы: 290
Вес: 0.48 кг.
Дата издания: 01.04.1983
Серия: Lecture Notes in Economics and Mathematical Systems
Язык: English
Размер: 244 x 170 x 16
Основная тема: Business and Management
Подзаголовок: A State-of-the-Art Survey
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: With contributions by numerous experts


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.

Algorithms and Model Formulations in Mathematical Programming

Автор: Stein W. Wallace
Название: Algorithms and Model Formulations in Mathematical Programming
ISBN: 3642837263 ISBN-13(EAN): 9783642837265
Издательство: Springer
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Цена: 6986.00 р.
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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

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.

Nondifferentiable and Two-Level Mathematical Programming

Автор: Kiyotaka Shimizu; Yo Ishizuka; Jonathan F. Bard
Название: Nondifferentiable and Two-Level Mathematical Programming
ISBN: 1461378958 ISBN-13(EAN): 9781461378952
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The analysis and design of engineering and industrial systems has come to rely heavily on the use of optimization techniques. As the title of the book indicates, our chief concern is with (i) nondifferentiable mathematical programs, and (ii) two-level optimization problems.

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

Mathematical Introduction to Linear Programming and Game Theory

Автор: Louis Brickman
Название: Mathematical Introduction to Linear Programming and Game Theory
ISBN: 146128869X ISBN-13(EAN): 9781461288695
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Mathematical elegance is a constant theme in this treatment of linear programming and matrix games. This thorough introduction to linear programming and game theory will impart a deep understanding of the material and also increase the student`s mathematical maturity.

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.

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.

Fuzzy Mathematical Programming and Fuzzy Matrix Games

Автор: C. R. Bector; Suresh Chandra
Название: Fuzzy Mathematical Programming and Fuzzy Matrix Games
ISBN: 3642062652 ISBN-13(EAN): 9783642062650
Издательство: Springer
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Цена: 19589.00 р.
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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.

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.

Evaluating Mathematical Programming Techniques

Автор: J. M. Mulvey
Название: Evaluating Mathematical Programming Techniques
ISBN: 3540114955 ISBN-13(EAN): 9783540114956
Издательство: Springer
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Цена: 18167.00 р.
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Описание: 2. APL 3+5 Dyadic functions sucb as +, -, x, +, *, r (max), 8 L (min), and e (log) operate on scalars and 3 4 2+5 1 7 extend to arrays in a systematic manner. Two 8 5 9 array arguments of a function must bave tbe same 3+5 1 7: shape (ie, vectors must bave tbe same number of 8 4 10 elements, matrices must bave tbe same number of 3r5 1 7 rows and columns). If one argument of a function 5 3 7 is a scalar, it is applied to eacb element of tbe 1 2 3*2 otber argument. 4 1 9 2e1 2 4 8 16 0 2 3 4 1 M 1 2 3 4 5 6 Mx2 2 4 6 8 10 12 M+M 2 4 6 8 10 12 -5 -3 0 2 Monadia funations such as -, I, x -3 5 o 2 (signum), r (ceiling, Le., small- x3 -5 0 2 est integer greater or equal to o -1 1 1 number), L (floor, i.e., largest -2.1 r3.5 2 integer less than or equal to -2 4 2 nUllwer) and 0 (pi times) operate -2.1 L3.5 2 on arrays and produce results 3 3 2 with the same shape as the argu- 01 2 3 ment. 3.1416 6.2832 9.4248 3=3 R /QtionQI functions follow the same rules. The 1 result is 1 for true, 0 for false.

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.


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