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Analysis and Estimation of Stochastic Mechanical Systems, Werner Schiehlen; Walter Wedig


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Автор: Werner Schiehlen; Walter Wedig
Название:  Analysis and Estimation of Stochastic Mechanical Systems
ISBN: 9783211820582
Издательство: Springer
Классификация:




ISBN-10: 3211820582
Обложка/Формат: Paperback
Страницы: 350
Вес: 0.57 кг.
Дата издания: 07.06.1988
Серия: CISM International Centre for Mechanical Sciences
Язык: English
Размер: 244 x 170 x 19
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The main aspects of the course are random vibrations of discrete and continuous systems, analysis of nonlinear and parametric systems, stochastic modelling of fatigue damage, parameter estimation and identification with applications to vehicle road systems and process simulations by means of autoregressive models.


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 Simulation: Algorithms and Analysis

Автор: Asmussen
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 038730679X ISBN-13(EAN): 9780387306797
Издательство: Springer
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Цена: 6981.00 р.
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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. 

Stochastic Simulation Optimization for Discrete Event Systems: Perturbation Analysis, Ordinal Optimization and Beyond

Автор: Chen Chun-Hung, Jia Qing-Shan, Lee Loo Hay
Название: Stochastic Simulation Optimization for Discrete Event Systems: Perturbation Analysis, Ordinal Optimization and Beyond
ISBN: 9814513008 ISBN-13(EAN): 9789814513005
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a "hard nut to crack." The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.

Stochastic Analysis, Stochastic Systems, And Applications To Finance

Автор: Tsoi Allanus Et Al
Название: Stochastic Analysis, Stochastic Systems, And Applications To Finance
ISBN: 9814355704 ISBN-13(EAN): 9789814355704
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: Introduces some advanced topics in probability theories - both pure and applied. This book deals with the analysis of stochastic dynamical systems, in terms of Gaussian processes, white noise theory, and diffusion processes. It discusses some applications of optimization theories, martingale measure theories, and asset trading modeling.

Topics in Stochastic Analysis and Nonparametric Estimation

Автор: Pao-Liu Chow; Boris S. Mordukhovich; G. George Yin
Название: Topics in Stochastic Analysis and Nonparametric Estimation
ISBN: 1441925813 ISBN-13(EAN): 9781441925817
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Khasminskii, on his seventy-fifth birthday, for his contributions to stochastic processes and nonparametric estimation theory an IMA participating institution conference entitled "Conference on Asymptotic Analysis in Stochastic Processes, Nonparametric Estimation, and Related Problems" was held.

Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control

Автор: L. Gerencser; P. E. Caines
Название: Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control
ISBN: 3540541330 ISBN-13(EAN): 9783540541332
Издательство: Springer
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Цена: 16979.00 р.
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Описание: This volume contains a collection of survey papers in the areas of modelling, estimation and adaptive control of stochastic systems. It provides information on recent research and describes efforts to develop a systematic theory of identification and adaptive control.

Modal Analysis of Nonlinear Mechanical Systems

Автор: Gaetan Kerschen
Название: Modal Analysis of Nonlinear Mechanical Systems
ISBN: 3709117909 ISBN-13(EAN): 9783709117903
Издательство: Springer
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Цена: 22203.00 р.
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Описание: The book first introduces the concept of nonlinear normal modes (NNMs) and their two main definitions. The fundamental differences between classical linear normal modes (LNMs) and NNMs are explained and illustrated using simple examples. Different methods for computing NNMs from a mathematical model are presented.

Computer-Aided Analysis of Rigid and Flexible Mechanical Systems

Автор: Manuel F.O. Seabra Pereira; Jorge A.C. Ambr?sio
Название: Computer-Aided Analysis of Rigid and Flexible Mechanical Systems
ISBN: 9401045089 ISBN-13(EAN): 9789401045087
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute, Troia, Portugal, June 27--July 9, 1993

Introduction to Modeling and Analysis of Stochastic Systems

Автор: V. G. Kulkarni
Название: Introduction to Modeling and Analysis of Stochastic Systems
ISBN: 1461427355 ISBN-13(EAN): 9781461427353
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book provides a self-contained review of all the relevant topics in probability theory. A software package called MAXIM, which runs on MATLAB, is made available for downloading. Vidyadhar G. Kulkarni is Professor of Operations Research at the University of North Carolina at Chapel Hill.

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.


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