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Stochastic Simulation: Algorithms and Analysis, Asmussen



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Цена: 6981р.
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Автор: Asmussen
Название:  Stochastic Simulation: Algorithms and Analysis
Перевод названия: Асмуссен: Стохастическое моделирование и анализ алгоритмов
ISBN: 9780387306797
Издательство: Springer
Классификация:
ISBN-10: 038730679X
Обложка/Формат: Hardback
Страницы: 496
Вес: 0.84 кг.
Дата издания: 23.08.2007
Серия: Stochastic Modelling and Applied Probability
Язык: English
Иллюстрации: 44 black & white illustrations, 1 colour illustrat
Размер: 241 x 162 x 32
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: Algorithms and analysis
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first  half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of  examples, exercises and applications students, practitioners and researchers in  probability, statistics, operations research, economics, finance, engineering  as well as biology and chemistry and physics will find the book of value.  Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of  Engineering at Stanford University. 
Дополнительное описание: Main Subject: Mathematics
Bibliography: XIV, 482 p. 45 illus., 1 in color.
Subject1: M27004 Probability Theory and Stochastic Processes
Subject2: S11001 Statistical Theory and Methods
Publication class: Professional
Product category: Pr





      Старое издание
Stochastic Simulation: Algorithms and Analysis

Автор: Asmussen, Soren, Glynn, Peter W.
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 0387690336 ISBN-13(EAN): 9780387690339
Издательство: Springer
Цена: р.
Наличие на складе: Невозможна поставка.


Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 10770 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: Eurospan
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Цена: 10460 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.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

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 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 Algorithms: Foundations and Applications

Автор: Oleg B. Lupanov; Oktay M. Kasim-Zade; Alexander V.
Название: Stochastic Algorithms: Foundations and Applications
ISBN: 3540294988 ISBN-13(EAN): 9783540294986
Издательство: Springer
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Цена: 9083 р.
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Описание: Constitutes the refereed proceedings of the Third International Symposium on Stochastic Algorithms: Foundations and Applications, SAGA 2005, held in Moscow, Russia in October 2005. This title includes papers that cover both theoretical as well as applied aspects of stochastic computations with a special focus on the algorithmic ideas.

Stochastic Algorithms: Foundations and Applications

Автор: Juraj Hromkovi?; Richard Kr?lovi?; Marc Nunkesser;
Название: Stochastic Algorithms: Foundations and Applications
ISBN: 3540748709 ISBN-13(EAN): 9783540748700
Издательство: Springer
Рейтинг:
Цена: 9083 р.
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Описание: Constitutes the proceedings of the 4th International Symposium on Stochastic Algorithms: Foundations and Applications, SAGA 2007, held in Zurich, Switzerland, in September 2007. This book covers theoretical as well as applied aspects of stochastic computations with a focus on investigating the power of randomization in algorithmics.

Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Автор: Thomas St?tzle; Mauro Birattari; Holger H. Hoos
Название: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
ISBN: 3540744452 ISBN-13(EAN): 9783540744450
Издательство: Springer
Рейтинг:
Цена: 9083 р.
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Описание: Constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms 2007, held in Brussels, Belgium, September 6-8, 2007. This work covers topics including Methodological developments, behavior of SLS algorithms, search space analysis, algorithm performance, tuning procedures and AI/OR techniques.

Simulation and Inference for Stochastic Differential Equations

Автор: Stefano M. Iacus
Название: Simulation and Inference for Stochastic Differential Equations
ISBN: 1441926070 ISBN-13(EAN): 9781441926074
Издательство: Springer
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Цена: 18167 р.
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Описание: This book covers a highly relevant topic that is of wide interest, especially in finance, engineering and computational biology. With an emphasis on the practical implementation of the simulation and estimation methods presented, the text will be useful to practitioners with minimal mathematical background.

Simulation of Stochastic Processes with Given Accuracy and Reliab

Автор: Kozachenko, Yuriy V.
Название: Simulation of Stochastic Processes with Given Accuracy and Reliab
ISBN: 1785482173 ISBN-13(EAN): 9781785482175
Издательство: Elsevier Science
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Цена: 26490 р.
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Описание:

Simulation has now become an integral part of research and development across many fields of study. Despite the large amounts of literature in the field of simulation and modeling, one recurring problem is the issue of accuracy and confidence level of constructed models. By outlining the new approaches and modern methods of simulation of stochastic processes, this book provides methods and tools in measuring accuracy and reliability in functional spaces. The authors explore analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random variables and processes and Cox processes. Methods of simulation of stochastic processes and fields with given accuracy and reliability in some Banach spaces are also considered.

  • Provides an analysis of the theory of Sub-Gaussian (including Gaussian one) and Square Gaussian random variables and processes
  • Contains information on the study of the issue of accuracy and confidence level of constructed models not found in other books on the topic
  • Provides methods and tools in measuring accuracy and reliability in functional spaces
Stochastic Algorithms: Foundations and Applications

Автор: Osamu Watanabe; Thomas Zeugmann
Название: Stochastic Algorithms: Foundations and Applications
ISBN: 3642049435 ISBN-13(EAN): 9783642049439
Издательство: Springer
Рейтинг:
Цена: 9781 р.
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Описание: This book constitutes the refereed proceedings of the 5th International Symposium on Stochastic Algorithms, Foundations and Applications, SAGA 2009, held in Sapporo, Japan, in October 2009. The 15 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 22 submissions.


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