Flexible and Generalized Uncertainty Optimization: Theory and Approaches, Lodwick Weldon A., Salles-Neto Luiz L.

Автор: Alberto Cambini; Laura Martein
Название: Generalized Convexity and Optimization
ISBN: 3540708758 ISBN-13(EAN): 9783540708759
Издательство: Springer
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Цена: 97820.00 T
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Описание: Offers a review of convex analysis and the fundamental theoretical findings on generalized convexity and on optimization, including their applications. This work includes a chapter devoted to generalized monotonicity and its relationship to generalized convexity and with the characterizations of important classes of fractional programming.

Автор: Lodwick Weldon A., Salles-Neto Luiz L.
Название: Flexible and Generalized Uncertainty Optimization: Theory and Approaches
ISBN: 3030611795 ISBN-13(EAN): 9783030611798
Издательство: Springer
Цена: 60550.00 T
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Описание: This book presents the theory and methods of flexible and generalized uncertainty optimization.

Автор: Shashi K. Mishra; Shouyang Wang; Kin Keung Lai
Название: Generalized Convexity and Vector Optimization
ISBN: 3642099300 ISBN-13(EAN): 9783642099304
Издательство: Springer
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Цена: 153720.00 T
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Описание: This book discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. It details the present state of knowledge on research done in this area.

Автор: Harald Held
Название: Shape Optimization under Uncertainty from a Stochastic Programming Point of View
ISBN: 3834809098 ISBN-13(EAN): 9783834809094
Издательство: Springer
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Цена: 97820.00 T
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Описание: Optimization problems whose constraints involve partial differential equations (PDEs) are relevant in many areas of technical, industrial, and economic app- cations. At the same time, they pose challenging mathematical research problems in numerical analysis and optimization. The present text is among the ?rst in the research literature addressing stochastic uncertainty in the context of PDE constrained optimization. The focus is on shape optimization for elastic bodies under stochastic loading. Analogies to ?nite dim- sional two-stage stochastic programming drive the treatment, with shapes taking the role of nonanticipative decisions.The main results concern level set-based s- chastic shape optimization with gradient methods involving shape and topological derivatives. The special structure of the elasticity PDE enables the numerical - lution of stochastic shape optimization problems with an arbitrary number of s- narios without increasing the computational effort signi?cantly. Both risk neutral and risk averse models are investigated. This monograph is based on a doctoral dissertation prepared during 2004-2008 at the Chair of Discrete Mathematics and Optimization in the Department of Ma- ematics of the University of Duisburg-Essen. The work was supported by the Deutsche Forschungsgemeinschaft (DFG) within the Priority Program "Optimi- tion with Partial Differential Equations." Rudiger Schultz Acknowledgments I owe a great deal to my supervisors, colleagues, and friends who have always supported, encouraged, andenlightenedmethroughtheirownresearch, comments, and questions.

Автор: Regina S. Burachik; Jen-Chih Yao
Название: Variational Analysis and Generalized Differentiation in Optimization and Control
ISBN: 146142769X ISBN-13(EAN): 9781461427698
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents some 20 papers describing recent developments in advanced variational analysis, optimization, and control systems, especially those based on modern variational techniques and tools of generalized differentiation.

Автор: Barrie Michael Cole
Название: Supply Chain Optimization under Uncertainty
ISBN: 1622730321 ISBN-13(EAN): 9781622730322
Издательство: Неизвестно
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Цена: 89510.00 T
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Автор: Wolfram Wiesemann
Название: Optimization of Temporal Networks under Uncertainty
ISBN: 3642437230 ISBN-13(EAN): 9783642437236
Издательство: Springer
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Цена: 121110.00 T
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Описание: Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations.

Автор: Gabriella Dellino; Carlo Meloni
Название: Uncertainty Management in Simulation-Optimization of Complex Systems
ISBN: 1489975462 ISBN-13(EAN): 9781489975461
Издательство: Springer
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Цена: 102480.00 T
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Описание: Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice.

Автор: Cole Barrie Michael
Название: Supply Chain Optimization Under Uncertainty
ISBN: 162273016X ISBN-13(EAN): 9781622730162
Издательство: Неизвестно
Цена: 133650.00 T
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Автор: Jaroslav Ram?k; Milan Vlach
Название: Generalized Concavity in Fuzzy Optimization and Decision Analysis
ISBN: 146135577X ISBN-13(EAN): 9781461355779
Издательство: Springer
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Цена: 93160.00 T
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Описание: Convexity of sets in linear spaces, and concavity and convexity of functions, lie at the root of beautiful theoretical results that are at the same time extremely useful in the analysis and solution of optimization problems, including problems of either single objective or multiple objectives.

Автор: Pratiksha Saxena, Dipti Singh, Millie Pant
Название: Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications
ISBN: 1466698853 ISBN-13(EAN): 9781466698857
Издательство: Mare Nostrum (Eurospan)
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Цена: 218990.00 T
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Описание: Presents the latest research trends and developments in the area of applied optimization methodologies and soft computing techniques for solving complex problems. Taking a multi-disciplinary approach, this critical publication is an essential reference source for engineers, managers, researchers, and post-graduate students.

Автор: Brevault Loпc, Balesdent Mathieu, Morio Jйrфme
Название: Aerospace System Analysis and Optimization in Uncertainty
ISBN: 3030391256 ISBN-13(EAN): 9783030391256
Издательство: Springer
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Цена: 130430.00 T
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Описание: Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and implements state-of-the-art methodologies within the complex process of aerospace system design under uncertainties.