Optimization Under Stochastic Uncertainty: Methods, Control and Random Search Methods, Marti Kurt

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: Marida Bertocchi; Giorgio Consigli; Michael A. H.
Название: Stochastic Optimization Methods in Finance and Energy
ISBN: 1461430275 ISBN-13(EAN): 9781461430278
Издательство: Springer
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Цена: 204040.00 T
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Описание: This book presents contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. Coverage also extends to theoretical and computational issues.

Автор: Kurt Marti
Название: Stochastic Optimization Methods
ISBN: 3642098363 ISBN-13(EAN): 9783642098369
Издательство: Springer
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Цена: 111790.00 T
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Описание: Optimization problems arising in practice involve random model parameters. This book features many illustrations, several examples, and applications to concrete problems from engineering and operations research.

Автор: Dror Moshe, L`Ecuyer Pierre, Szidarovszky Ferenc
Название: Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications
ISBN: 1475783698 ISBN-13(EAN): 9781475783698
Издательство: Springer
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Цена: 93160.00 T
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Описание: The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others.

Автор: Harry Dym; Mauricio C. de Oliveira; Mihai Putinar
Название: Mathematical Methods in Systems, Optimization, and Control
ISBN: 3034807759 ISBN-13(EAN): 9783034807753
Издательство: Springer
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Цена: 88470.00 T
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Описание:

The Festschrift in celebration of John William Helton's pioneering work, Mathematical Methods in Systems, Optimization, and Control comprises a careful selection of articles on systems and control theory, operator theory, and optimization. The book follows Helton's original and long lasting contributions which have shaped control theory and operator theory during the last decades, with specific emphasis on topics aimed at direct applications to current research areas of high impact and interest.

The book, by virtue of its diverse contents, strong interdisciplinary contents, and high expertise of its contributors, is one of a kind among all recent publications in the area of mathematical control theory. Mathematicians of all denominations (algebraists, geometers, analysts, numerical and computer scientists) as well as engineers interested in control and optimization will find invaluable references and sources of inspiration in the book.

Название: Numerical Methods for Stochastic Control Problems in Continu
ISBN: 1461265312 ISBN-13(EAN): 9781461265313
Издательство: Springer
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Цена: 85670.00 T
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Описание: Stochastic control is a very active area of research. This monograph, written by two leading authorities in the field, has been updated to reflect the latest developments. It covers effective numerical methods for stochastic control problems in continuous time on two levels, that of practice and that of mathematical development.

Автор: Giuseppe Calafiore; Fabrizio Dabbene
Название: Probabilistic and Randomized Methods for Design under Uncertainty
ISBN: 1849965528 ISBN-13(EAN): 9781849965521
Издательство: Springer
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Цена: 279500.00 T
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Описание: Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world`s leading experts in a fast-emerging branch of control engineering and operations research.

Автор: Huyen Pham
Название: Continuous-time Stochastic Control and Optimization with Financial Applications
ISBN: 3540894993 ISBN-13(EAN): 9783540894995
Издательство: Springer
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Цена: 60550.00 T
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Описание: This text provides a systematic treatment of stochastic optimization problems applied to finance by presenting the different existing methods: dynamic programming, viscosity solutions, backward stochastic differential equations and martingale duality methods.

Автор: Marti, Kurt
Название: Stochastic optimization methods
ISBN: 3662500124 ISBN-13(EAN): 9783662500125
Издательство: Springer
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Цена: 121110.00 T
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Описание: Stochastic Optimization Methods.- Optimal Control Under Stochastic Uncertainty.- Stochastic Optimal Open-Loop Feedback Control.- Adaptive Optimal Stochastic Trajectory Planning and Control (AOSTPC).- Optimal Design of Regulators.- Expected Total Cost Minimum Design of Plane Frames.- Stochastic Structural Optimization with Quadratic Loss Functions.- Maximum Entropy Techniques.

Автор: Cohen Samuel N Et Al
Название: Stochastic Processes, Finance And Control: A Festschrift In Honor Of Robert J Elliott
ISBN: 9814383309 ISBN-13(EAN): 9789814383301
Издательство: World Scientific Publishing
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Цена: 200640.00 T
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Описание: Consists of a series of peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering. This book is of interest to researchers and practitioners.

Автор: Dmitrii Lozovanu; Stefan Pickl
Название: Optimization of Stochastic Discrete Systems and Control on Complex Networks
ISBN: 3319358731 ISBN-13(EAN): 9783319358734
Издательство: Springer
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Цена: 121110.00 T
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Описание: Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems.

Автор: Houmin Yan; G. George Yin; Qing Zhang
Название: Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems
ISBN: 1441941487 ISBN-13(EAN): 9781441941480
Издательство: Springer
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Цена: 153720.00 T
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Описание: It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.