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Fuzzy Mathematical Programming, Young-Jou Lai; Ching-Lai Hwang


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Автор: Young-Jou Lai; Ching-Lai Hwang
Название:  Fuzzy Mathematical Programming
ISBN: 9783540560982
Издательство: Springer
Классификация:



ISBN-10: 354056098X
Обложка/Формат: Paperback
Страницы: 306
Вес: 0.52 кг.
Дата издания: 14.12.1992
Серия: Lecture Notes in Economics and Mathematical Systems
Язык: English
Размер: 244 x 170 x 17
Основная тема: Business and Management
Подзаголовок: Methods and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: To improve flexibility and robustness of fuzzymathematical programming techniques, we also present ourexpert decision-making support system IFLP which considersand solves all possibilities of a specific domain of (fuzzy)linear programming problems.


Mathematical methods and models for economists

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.

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.

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: 0792393228 ISBN-13(EAN): 9780792393221
Издательство: Springer
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Цена: 32004.00 р.
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Описание: ANALYZE is a computer-assisted analysis system for mathematical programming models and solution called ANALYZE. It is designed to provide computer assistance for analyzing linear programs and their solutions. This book includes the exercises that show how to use ANALYZE to retrieve information.

Model Building in Mathematical Programming

Автор: Williams H Paul
Название: Model Building in Mathematical Programming
ISBN: 1118443330 ISBN-13(EAN): 9781118443330
Издательство: Wiley
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Цена: 7437.00 р.
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Описание: The 5th edition of Model Building in Mathematical Programming discusses the general principles of model building in mathematical programming and demonstrates how they can be applied by using several simplified but practical problems from widely different contexts.

Proceedings of the Princeton Symposium on Mathematical Programming

Автор: Kuhn Harold William
Название: Proceedings of the Princeton Symposium on Mathematical Programming
ISBN: 0691620733 ISBN-13(EAN): 9780691620732
Издательство: Wiley
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Цена: 17266.00 р.
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Описание: This volume contains thirty-three selected general research papers devoted to the theory and application of the mathematics of constrained optimization, including linear programming and its extensions to convex programming, general nonlinear programming, integer programming, and programming under uncertainty. Originally published in 1971. The Pri

Автор: Holzman
Название: Mathematical Programming for Operations Researchers and Computer Scientists
ISBN: 0824714997 ISBN-13(EAN): 9780824714994
Издательство: Taylor&Francis
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Цена: 38280.00 р.
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Описание: This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.

Mathematical Foundations of Programming Semantics

Автор: Michael G. Main; Austin C. Melton; Michael W. Misl
Название: Mathematical Foundations of Programming Semantics
ISBN: 0387973753 ISBN-13(EAN): 9780387973753
Издательство: Springer
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Цена: 12157.00 р.
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Interior Point Methods of Mathematical Programming

Автор: Tam?s Terlaky
Название: Interior Point Methods of Mathematical Programming
ISBN: 0792342011 ISBN-13(EAN): 9780792342014
Издательство: Springer
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Цена: 47377.00 р.
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Описание: Offers an overview of the research in interior point methods. This book gives an overview of basic variants of interior point algorithms for linear programming. It also deals with nonlinear programming. It is useful for researchers and graduate students in mathematical programming, operations research, management science, and combinatorics.

Mathematical Foundation of Programming Semantics

Автор: Austin Melton
Название: Mathematical Foundation of Programming Semantics
ISBN: 3540168168 ISBN-13(EAN): 9783540168164
Издательство: Springer
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Цена: 11179.00 р.
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Mathematical Foundations of Programming Language Semantics

Автор: Michael Main; Austin Melton; Michael Mislove; Davi
Название: Mathematical Foundations of Programming Language Semantics
ISBN: 3540190201 ISBN-13(EAN): 9783540190202
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume is the proceedings of the 3rd Workshop on the Mathematical Foundations of Programming Language Semantics held at Tulane University, New Orleans, Louisiana, April 8-10, 1987.

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.

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.


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