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Stochastic Numerics for the Boltzmann Equation / by Sergej Rjasanow, Wolfgang Wagner
(Springer Series in Computational Mathematics. ISSN:21983712 ; 37)

1st ed. 2005.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 2005
本文言語 英語
大きさ XIV, 256 p : online resource
著者標目 *Rjasanow, Sergej author
Wagner, Wolfgang author
SpringerLink (Online service)
件 名 LCSH:Numerical analysis
LCSH:Probabilities
LCSH:Mathematical physics
LCSH:Differential equations
FREE:Numerical Analysis
FREE:Probability Theory
FREE:Theoretical, Mathematical and Computational Physics
FREE:Differential Equations
一般注記 Kinetic theory -- Related Markov processes -- Stochastic weighted particle method -- Numerical experiments
Stochastic numerical methods play an important role in large scale computations in the applied sciences. The first goal of this book is to give a mathematical description of classical direct simulation Monte Carlo (DSMC) procedures for rarefied gases, using the theory of Markov processes as a unifying framework. The second goal is a systematic treatment of an extension of DSMC, called stochastic weighted particle method. This method includes several new features, which are introduced for the purpose of variance reduction (rare event simulation). Rigorous convergence results as well as detailed numerical studies are presented
HTTP:URL=https://doi.org/10.1007/3-540-27689-0
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Springer eBooks 9783540276890
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データ種別 電子ブック
分 類 LCC:QA297-299.4
DC23:518
書誌ID 4000134172
ISBN 9783540276890

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