Partially Stirred Reactor Model: Analytical Solutions and Numerical Convergence Study of a PDF/Monte Carlo Method

DOI10.1137/S1064827502411328zbMath1061.65002OpenAlexW2035146050MaRDI QIDQ4652294

Publication date: 25 February 2005

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/s1064827502411328

zbMATH Keywords

analytical solutions numerical experiments error bounds chemical reaction transport equation Poisson process numerical convergence air combustion inflow-outflow algorithms partially stirred reactor model premixed kerosene probability density function/Monte Carlo particle method

Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).

Related Items (3)

Stochastic solution of population balance equations for reactor networks ⋮ \texttt{pyJac}: analytical Jacobian generator for chemical kinetics ⋮ Explicit stochastic ODE solution methods applied to high-temperature combustion

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