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Stochastic Numerics for the Boltzmann Equation: 37 (Springer Series in Computational Mathematics)

SKU: 9783540252689

9,999.00

Master advanced computational techniques with this essential guide to stochastic numerics for the Boltzmann Equation. Explore the mathematical framework of classical Monte Carlo (DSMC) procedures for rarefied gases and delve into stochastic weighted particle methods designed for variance reduction and rare event simulation. This Springer Series volume offers rigorous convergence results and detailed numerical studies, making it indispensable for researchers and advanced students in computational physics, applied mathematics, and scientific computing seeking to enhance simulation accuracy and efficiency in applied sciences.

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