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Stochastic Numerics for the Boltzmann Equation

Stochastic Numerics for the Boltzmann Equation

Authors
Publisher Springer Nature
Year 04/11/2005
Version eBook: Fixed Page eTextbook (PDF)
Language English
ISBN 9783540276890
Categories Number systems, Differential calculus & equations, Probability & statistics, Mathematical physics
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Book description

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.

Stochastic Numerics for the Boltzmann Equation

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