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The stochastic perturbation method for computational mechanics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The stochastic perturbation method for computational mechanics/ Marcin Kamiński.
作者:	Kamiński, M. M.
出版者:	Hoboken :John Wiley & Sons Inc., : 2013.,
面頁冊數:	1 online resource.
標題:	Engineering - Statistical methods. -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118481844
ISBN:	9781118481844 (electronic bk.)

The stochastic perturbation method for computational mechanics
Kamiński, M. M.1969-

The stochastic perturbation method for computational mechanics[electronic resource] /Marcin Kamiński. - Hoboken :John Wiley & Sons Inc.,2013. - 1 online resource.

Includes bibliographical references and index.

Mathematical Considerations -- The Stochastic Finite Element Method -- Stochastic Boundary Element Method -- The Stochastic Finite Difference Method -- Homogenization Problem.

"Probabilistic analysis is increasing in popularity and importance within engineering and the applied sciences. However, the stochastic perturbation technique is a fairly recent development and therefore remains as yet unknown to many students, researchers and engineers. Fields in which the methodology can be applied are widespread, including various branches of engineering, heat transfer and statistical mechanics, reliability assessment and also financial investments or economical prognosis in analytical and computational contexts.Stochastic Perturbation Method in Applied Sciences and Engineering is devoted to the theoretical aspects and computational implementation of the generalized stochastic perturbation technique. It is based on any order Taylor expansions of random variables and enables for determination of up to fourth order probabilistic moments and characteristics of the physical system response.Key features: Provides a grounding in the basic elements of statistics and probability and reliability engineering Describes the Stochastic Finite, Boundary Element and Finite Difference Methods, formulated according to the perturbation method Demonstrates dual computational implementation of the perturbation method with the use of Direct Differentiation Method and the Response Function Method Accompanied by a website (www.wiley.com/go/kaminski) with supporting stochastic numerical software Covers the computational implementation of the homogenization method for periodic composites with random and stochastic material properties Features case studies, numerical examples and practical applications Stochastic Perturbation Method in Applied Sciences and Engineering is a comprehensive reference for researchers and engineers, and is an ideal introduction to the subject for postgraduate and graduate students"--

ISBN: 9781118481844 (electronic bk.)

LCCN: 2012041383Subjects--Topical Terms:

558691
Engineering
--Statistical methods.

LC Class. No.: TA340

Dewey Class. No.: 620.001/51922

The stochastic perturbation method for computational mechanics
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100 1 $a Kamiński, M. M. $q (Marcin M.), $d 1969- $3 999710
245 1 4 $a The stochastic perturbation method for computational mechanics $h [electronic resource] / $c Marcin Kamiński.
260 $a Hoboken : $b John Wiley & Sons Inc., $c 2013.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
505 0 $a Mathematical Considerations -- The Stochastic Finite Element Method -- Stochastic Boundary Element Method -- The Stochastic Finite Difference Method -- Homogenization Problem.
520 $a "Probabilistic analysis is increasing in popularity and importance within engineering and the applied sciences. However, the stochastic perturbation technique is a fairly recent development and therefore remains as yet unknown to many students, researchers and engineers. Fields in which the methodology can be applied are widespread, including various branches of engineering, heat transfer and statistical mechanics, reliability assessment and also financial investments or economical prognosis in analytical and computational contexts.Stochastic Perturbation Method in Applied Sciences and Engineering is devoted to the theoretical aspects and computational implementation of the generalized stochastic perturbation technique. It is based on any order Taylor expansions of random variables and enables for determination of up to fourth order probabilistic moments and characteristics of the physical system response.Key features: Provides a grounding in the basic elements of statistics and probability and reliability engineering Describes the Stochastic Finite, Boundary Element and Finite Difference Methods, formulated according to the perturbation method Demonstrates dual computational implementation of the perturbation method with the use of Direct Differentiation Method and the Response Function Method Accompanied by a website (www.wiley.com/go/kaminski) with supporting stochastic numerical software Covers the computational implementation of the homogenization method for periodic composites with random and stochastic material properties Features case studies, numerical examples and practical applications Stochastic Perturbation Method in Applied Sciences and Engineering is a comprehensive reference for researchers and engineers, and is an ideal introduction to the subject for postgraduate and graduate students"-- $c Provided by publisher.
520 $a "Offers a complete overveiew of the stochastic perturbation technique, which is still a new area for a wide spectrum of researchers"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher; resource not viewed.
650 0 $a Engineering $x Statistical methods. $3 558691
650 0 $a Perturbation (Mathematics) $3 528258
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118481844