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Stochastic Two-Stage Programming, Karl Frauendorfer


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Автор: Karl Frauendorfer
Название:  Stochastic Two-Stage Programming
ISBN: 9783540560975
Издательство: Springer
Классификация:


ISBN-10: 3540560971
Обложка/Формат: Paperback
Страницы: 228
Вес: 0.40 кг.
Дата издания: 17.12.1992
Серия: Lecture Notes in Economics and Mathematical Systems
Язык: English
Размер: 244 x 170 x 13
Основная тема: Business and Management
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Stochastic Programming offers models and methods fordecision problems wheresome of the data are uncertain. In these models the objective function isgiven as an integral, whose integrand depends on a randomvector, on its probability measure and on a decision.


Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 11246.00 р.
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Stochastic processes

Автор: Parzen, Emanuel
Название: Stochastic processes
ISBN: 0898714419 ISBN-13(EAN): 9780898714418
Издательство: Mare Nostrum (Eurospan)
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Цена: 9656.00 р.
Наличие на складе: Нет в наличии.

Описание: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions.

Stochastic Programming

Автор: Andr?s Pr?kopa
Название: Stochastic Programming
ISBN: 0792334825 ISBN-13(EAN): 9780792334828
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of statistics and mathematical programming. This book offers a comprehensive introduction to the field and its basic mathematical tools.

Stochastic Linear Programming

Автор: P. Kall
Название: Stochastic Linear Programming
ISBN: 3642662544 ISBN-13(EAN): 9783642662546
Издательство: Springer
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Цена: 11173.00 р.
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Описание: Todaymanyeconomists, engineers and mathematicians are familiar with linear programming and are able to apply it. This is owing to the following facts: during the last 25 years efficient methods have been developed; at the same time sufficient computer capacity became available; finally, in many different fields, linear programs have turned out to be appropriate models for solving practical problems. However, to apply the theory and the methods of linear programming, it is required that the data determining a linear program be fixed known numbers. This condition is not fulfilled in many practical situations, e. g. when the data are demands, technological coefficients, available capacities, cost rates and so on. It may happen that such data are random variables. In this case, it seems to be common practice to replace these random variables by their mean values and solve the resulting linear program. By 1960 various authors had already recog- nized that this approach is unsound: between 1955 and 1960 there were such papers as "Linear Programming under Uncertainty," "Stochastic Linear Pro- gramming with Applications to Agricultural Economics," "Chance Constrained Programming," "Inequalities for Stochastic Linear Programming Problems" and "An Approach to Linear Programming under Uncertainty."

Linear and Multiobjective Programming with Fuzzy Stochastic Extensions

Автор: Masatoshi Sakawa; Hitoshi Yano; Ichiro Nishizaki
Название: Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
ISBN: 1461493986 ISBN-13(EAN): 9781461493983
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This self-contained book offers comprehensive coverage of linear programming, multiobjective programming, fuzzy programming, stochastic programming, and fuzzy stochastic programming, with applications in purchase and transportation planning for food retailing.

Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search

Автор: David L. Woodruff
Название: Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search
ISBN: 1441950230 ISBN-13(EAN): 9781441950239
Издательство: Springer
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Цена: 29209.00 р.
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Описание: Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities.

BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

Автор: Urmila Diwekar; Amy David
Название: BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
ISBN: 1493922815 ISBN-13(EAN): 9781493922819
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems.

Stochastic Programming

Автор: Kurt Marti; Peter Kall
Название: Stochastic Programming
ISBN: 3540589961 ISBN-13(EAN): 9783540589969
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Proceedings of the 2nd GAMM/IFIP-Workshop on "Stochastic Optimization:Numerical Methods and Technical Applications" held at the Federal Armed Forces University, Munich, Neubiberg/Munchen, Germany, June 15-17, 1993

Stochastic Programming Methods and Technical Applications

Автор: Kurt Marti; Peter Kall
Название: Stochastic Programming Methods and Technical Applications
ISBN: 3540639241 ISBN-13(EAN): 9783540639244
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Optimization problems arising in practice usually contain several random parameters. The original problem with random parameters must be replaced by an appropriate deterministic substitute problem, and efficient numerical solution or approximation techniques have to be developed for those problems.

Stochastic Linear Programming

Автор: Peter Kall; J?nos Mayer
Название: Stochastic Linear Programming
ISBN: 1461427452 ISBN-13(EAN): 9781461427452
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Authored by two of the field`s most prominent researchers, this new edition has been comprehensively updated, with new material on contemporary models and methods including stochastic DEA models, material on Sharpe-ratio, and asset liability management.

Two-Scale Stochastic Systems / Asymptotic Analysis and Control

Автор: Kabanov Yuri, Pergamenshchikov Sergei
Название: Two-Scale Stochastic Systems / Asymptotic Analysis and Control
ISBN: 3540653325 ISBN-13(EAN): 9783540653325
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Two-scale systems described by singularly perturbed SDEs have been the subject of ample literature. However, this new monograph develops subjects that were rarely addressed and could be given the collective description "Stochastic Tikhonov-Levinson theory and its applications." The book provides a mathematical apparatus designed to analyze the dynamic behaviour of a randomly perturbed system with fast and slow variables. In contrast to the deterministic Tikhonov-Levinson theory, the basic model is described in a more realistic way by stochastic differential equations. This leads to a number of new theoretical questions but simultaneously allows us to treat in a unified way a surprisingly wide spectrum of applications like fast modulations, approximate filtering, and stochastic approximation.

Stochastic methods

Автор: Gardiner, Crispin W.
Название: Stochastic methods
ISBN: 3540707123 ISBN-13(EAN): 9783540707127
Издательство: Springer
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Цена: 11179.00 р.
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Описание: In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.


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