A Monte Carlo methods for identification and sensitivity analysis of coagulation processes

DOI10.1016/j.jcp.2004.03.006zbMath1174.82321OpenAlexW2014647129MaRDI QIDQ1885783

Alexander Vikhansky, Markus Kraft

Publication date: 12 November 2004

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2004.03.006

zbMATH Keywords

Monte CarloSensitivity analysisInverse problemOperator splittingPopulation balancesspace-homogeneous Smoluchowski' coagulation equation

Mathematics Subject Classification ID

Other physical applications of random processes (60K40) Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics (82C31) Stochastic particle methods (65C35)

Related Items (1)

Hybrid method of moments with interpolation closure-Taylor-series expansion method of moments scheme for solving the Smoluchowski coagulation equation

Cites Work

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• Reduction of the number of particles in the stochastic weighted particle method for the Boltzmann equation
• Stochastic particle approximations for Smoluchowski's coagulation equation
• On the breakage problem with a homogeneous erosion type kernel
• Pseudo-random numbers for constructing discrete Markov chains by the Monte Carlo method

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