A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions, H.J. Greenberg

Автор: Galimkair Mutanov
Название: Mathematical Methods and Models in Economic Planning, Management and Budgeting
ISBN: 3662451417 ISBN-13(EAN): 9783662451410
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness.

Автор: Williams H Paul
Название: Model Building in Mathematical Programming
ISBN: 1118443330 ISBN-13(EAN): 9781118443330
Издательство: Wiley
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Цена: 49580.00 T
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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.

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: 102480.00 T
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Описание: With contributions by numerous experts

Автор: Tam?s Terlaky
Название: Interior Point Methods of Mathematical Programming
ISBN: 1461334519 ISBN-13(EAN): 9781461334514
Издательство: Springer
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Цена: 315850.00 T
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Описание: At the same time, we try to present a quick overview of the impact of extensions of IPMs on smooth nonlinear optimization and to demonstrate the potential of IPMs for solving difficult practical problems.

Автор: Alf Kimms
Название: Mathematical Programming and Financial Objectives for Scheduling Projects
ISBN: 1461355613 ISBN-13(EAN): 9781461355618
Издательство: Springer
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Цена: 46570.00 T
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Описание: The book demonstrates that scheduling must be combined with project selection and financing, and that scheduling helps to give an answer to the planning issue of the amount of resources required for a project.

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: 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: 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.

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: 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: 81050.00 T
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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.

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: 153720.00 T
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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.

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.