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Linear Optimization Problems with Inexact Data, Miroslav Fiedler; Josef Nedoma; Jaroslav Ramik; Ji


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Автор: Miroslav Fiedler; Josef Nedoma; Jaroslav Ramik; Ji
Название:  Linear Optimization Problems with Inexact Data
ISBN: 9781441940940
Издательство: Springer
Классификация:



ISBN-10: 1441940944
Обложка/Формат: Paperback
Страницы: 214
Вес: 0.33 кг.
Дата издания: 29.10.2010
Язык: English
Размер: 234 x 156 x 12
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Linear programming has attracted the interest of mathematicians since World War II when the first computers were constructed. This book presents a comprehensive treatment of linear optimization with inexact data, summarizing existing results and presenting new ones within a unifying framework.

Fuzziness and Foundations of Exact and Inexact Sciences

Автор: Kofi Kissi Dompere
Название: Fuzziness and Foundations of Exact and Inexact Sciences
ISBN: 3642445357 ISBN-13(EAN): 9783642445354
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book surveys fuzzy rational foundations of the structure of exact and inexact sciences over epistemological space, drawing the conclusion that conditions of the fuzzy paradigm present a methodological unity where every zone of thought has fuzzy covering.

Advances In Combinatorial Optimization: Linear Programming Formulations Of The Traveling Salesman And Other Hard Combinatorial Optimization Problems

Автор: Diaby Moustapha Et Al
Название: Advances In Combinatorial Optimization: Linear Programming Formulations Of The Traveling Salesman And Other Hard Combinatorial Optimization Problems
ISBN: 9814704873 ISBN-13(EAN): 9789814704878
Издательство: World Scientific Publishing
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Цена: 92930.00 T
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Описание:

Combinational optimization (CO) is a topic in applied mathematics, decision science and computer science that consists of finding the best solution from a non-exhaustive search. CO is related to disciplines such as computational complexity theory and algorithm theory, and has important applications in fields such as operations research/management science, artificial intelligence, machine learning, and software engineering.

Advances in Combinatorial Optimization presents a generalized framework for formulating hard combinatorial optimization problems (COPs) as polynomial sized linear programs. Though developed based on the 'traveling salesman problem' (TSP), the framework allows for the formulating of many of the well-known NP-Complete COPs directly (without the need to reduce them to other COPs) as linear programs, and demonstrates the same for three other problems (e.g. the 'vertex coloring problem' (VCP)). This work also represents a proof of the equality of the complexity classes "P" (polynomial time) and "NP" (nondeterministic polynomial time), and makes a contribution to the theory and application of 'extended formulations' (EFs).

On a whole, Advances in Combinatorial Optimization offers new modeling and solution perspectives which will be useful to professionals, graduate students and researchers who are either involved in routing, scheduling and sequencing decision-making in particular, or in dealing with the theory of computing in general.


Optimization and Inverse Problems in Electromagnetism

Автор: Rudnicki Marek, Wiak Slawomir
Название: Optimization and Inverse Problems in Electromagnetism
ISBN: 1402015062 ISBN-13(EAN): 9781402015069
Издательство: Springer
Цена: 116410.00 T
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Описание: From 12 to 14 September 2002, the Academy of Humanities and Economics (AHE) hosted the workshop "Optimization and Inverse Problems in Electromagnetism". After this bi-annual event, a large number of papers were assembled and combined in this book. During the workshop recent developments and applications in optimization and inverse methodologies for electromagnetic fields were discussed. The contributions selected for the present volume cover a wide spectrum of inverse and optimal electromagnetic methodologies, ranging from theoretical to practical applications. A number of new optimal and inverse methodologies were proposed. There are contributions related to dedicated software.

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Автор: Andrea Lodi; Michela Milano; Paolo Toth
Название: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
ISBN: 3642135196 ISBN-13(EAN): 9783642135194
Издательство: Springer
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Цена: 69870.00 T
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Описание: Constitutes the refereed proceedings of the 7th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2010, held in Bologna, Italy, in June 2010.

Newtonian Nonlinear Dynamics for Complex Linear and Optimization Problems

Автор: Luis V?zquez; Salvador Jimenez
Название: Newtonian Nonlinear Dynamics for Complex Linear and Optimization Problems
ISBN: 1461459117 ISBN-13(EAN): 9781461459118
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book takes in some of the latest mathematical applications derived from Newtonian law. It explains the mechanical method for determining matrix singularity or non-independence of dimension and complexity, and includes new approaches to standard problems.

Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

Автор: Willem-Jan van Hoeve; Elvin Coban
Название: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
ISBN: 3642019285 ISBN-13(EAN): 9783642019289
Издательство: Springer
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Цена: 65210.00 T
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Описание: Constitutes the refereed proceedings of the 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2009, held in Pittsburgh, PA, USA, in May 2009.


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