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

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: 46570.00 T
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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.

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: 139750.00 T
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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.

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: 277650.00 T
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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.

Автор: J. M. Mulvey
Название: Evaluating Mathematical Programming Techniques
ISBN: 3540114955 ISBN-13(EAN): 9783540114956
Издательство: Springer
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Цена: 121110.00 T
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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.

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: 204040.00 T
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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.

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
Рейтинг:
Цена: 277650.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

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: 139750.00 T
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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.

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: 130590.00 T
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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.

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: 204040.00 T
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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.

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
Рейтинг:
Цена: 139750.00 T
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Описание: Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization.

Автор: Klaus Schittkowski
Название: Computational Mathematical Programming
ISBN: 3642824528 ISBN-13(EAN): 9783642824524
Издательство: Springer
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Цена: 97820.00 T
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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

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: 148010.00 T
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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.