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Mathematical Programming The State of the Art, A. Bachem; M. Gr?tschel; B. Korte


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Автор: A. Bachem; M. Gr?tschel; B. Korte
Название:  Mathematical Programming The State of the Art
ISBN: 9783642688768
Издательство: Springer
Классификация:







ISBN-10: 3642688764
Обложка/Формат: Paperback
Страницы: 658
Вес: 1.05 кг.
Дата издания: 07.12.2011
Язык: English
Размер: 244 x 170 x 34
Основная тема: Mathematics
Подзаголовок: Bonn 1982
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


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.

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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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.

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

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.

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

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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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.

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.

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

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.

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.

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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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.

Schaum`s Outline of Introduction to Mathematical Economics

Автор: Dowling Edward
Название: Schaum`s Outline of Introduction to Mathematical Economics
ISBN: 0071762515 ISBN-13(EAN): 9780071762519
Издательство: McGraw-Hill
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Цена: 3087.00 р.
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Описание:

The ideal review for your intro to mathematical economics course

More than 40 million students have trusted Schaum's Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum's Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice. Outline format supplies a concise guide to the standard college courses in mathematical economics 710 solved problems Clear, concise explanations of all mathematical economics concepts Supplements the major bestselling textbooks in economics courses Appropriate for the following courses: Introduction to Economics, Economics, Econometrics, Microeconomics, Macroeconomics, Economics Theories, Mathematical Economics, Math for Economists, Math for Social Sciences Easily understood review of mathematical economics Supports all the major textbooks for mathematical economics courses


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