Описание: Uwe Gotzes analyzes an approach to account for risk aversion in two-stage models based upon partial orders on the set of real random variables. He illustrates the superiority of the proposed decomposition method over standard solvers for example with numerical experiments with instances from energy investment.
Автор: Karen Aardal; Bert Gerards Название: Integer Programming and Combinatorial Optimization ISBN: 3540422250 ISBN-13(EAN): 9783540422259 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The locations and years of the seven rs t IPCO conferences were: IPCO I, Waterloo (Canada) 1990, IPCO II, Pittsburgh (USA) 1992, IPCO III, - ice (Italy) 1993, IPCO IV, Copenhagen (Denmark) 1995, IPCO V, Vancouver (Canada) 1996, IPCO VI, Houston (USA) 1998, IPCO VII, Graz (Austria) 1999.
Автор: William J. Cook; Andreas S. Schulz Название: Integer Programming and Combinatorial Optimization ISBN: 3540436766 ISBN-13(EAN): 9783540436768 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Compiled from the proceedings of the 9th International Conference on Integer Programming and Combinatorial Optimization in May 2002, this volume contains 33 papers. The topics covered include scaling algorithms, flow algorithms, combinatorial optimization algorithms and approximate TSP Solutions.
Автор: Egon Balas; Jens Clausen Название: Integer Programming and Combinatorial Optimization ISBN: 3540594086 ISBN-13(EAN): 9783540594086 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume represents the proceedings of the Fourth International Conference on Integer Programming and Combinatorial Optimization, (IPCO) in 1995. Theoretical and algorithmic basics for the solution of optimization problems such as production planning, are presented.
Автор: William H. Cunningham; S. Thomas McCormick; Mauric Название: Integer Programming and Combinatorial Optimization ISBN: 3540613102 ISBN-13(EAN): 9783540613107 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents papers from the Fifth International IPCO Conference, held in Vancouver in June 1996. The papers look at developments in theory, computation, and applications of integer programming and combinatorial optimization.
Автор: Gerard Cornuejols; Rainer E. Burkard; Gerhard J. W Название: Integer Programming and Combinatorial Optimization ISBN: 3540660194 ISBN-13(EAN): 9783540660194 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These papers cover: approximation, branch and bound, cutting plane, graph and network, and online algorithms; computational biology, complexity and geometry; diaphantine equations; geometry of numbers; and polyhedral combinatorics, scheduling and semidefinite programs.
Описание: This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.
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.
Описание: Christian Kuchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees.
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