東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

The stochastic perturbation method f...

Kamiński, M. M. (1969-)

Linked to FindBook

Google Book

Amazon

博客來

The stochastic perturbation method for computational mechanics

Record Type:	Electronic resources : Monograph/item
Title/Author:	The stochastic perturbation method for computational mechanics/ Marcin Kamiński.
Author:	Kamiński, M. M.
Published:	Hoboken :John Wiley & Sons Inc., : 2013.,
Description:	1 online resource.
[NT 15003449]:	Mathematical Considerations -- The Stochastic Finite Element Method -- Stochastic Boundary Element Method -- The Stochastic Finite Difference Method -- Homogenization Problem.
Subject:	Engineering - Statistical methods. -
Online resource:	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:

646559
Engineering
--Statistical methods.

LC Class. No.: TA340

Dewey Class. No.: 620.001/51922

The stochastic perturbation method for computational mechanics
LDR:03367cmm a22003618i 4500 001 1953084
003 OCoLC
005 20130505100511.0
006 m o d
007 cr |||||||||||
008 150109s2013 nju ob 001 0 eng
010 $a 2012041383
020 $a 9781118481844 (electronic bk.)
020 $a 1118481844 (electronic bk.)
020 $a 9781118481820 (electronic bk.)
020 $a 1118481828 (electronic bk.)
020 $z 9781118481813
020 $z 111848181X
020 $z 9781118481837
020 $z 1118481836
020 $z 9780470770825 (hardback)
035 $a 005417481
040 $a DLC $b eng $c DLC $d OCLCO $d DG1 $d N $d E7B
050 1 0 $a TA340
082 0 0 $a 620.001/51922 $2 23
100 1 $a Kamiński, M. M. $q (Marcin M.), $d 1969- $3 2084267
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 646559
650 0 $a Perturbation (Mathematics) $3 518241
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118481844