Computational singular perturbation analysis of stochastic chemical systems with stiffness

DOI10.1016/j.jcp.2017.01.040zbMath1375.80013OpenAlexW2581224653MaRDI QIDQ1685440

Xiaoying Han, Yanzhao Cao, Lijin Wang, Habib N. Najm

Publication date: 14 December 2017

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

Full work available at URL: https://doi.org/10.1016/j.jcp.2017.01.040

zbMATH Keywords

model reductionchemical Langevin equationcomputational singular perturbationstochastic chemical reaction systemsstochastic Davis-Skodje model

Mathematics Subject Classification ID

Numerical solutions to stochastic differential and integral equations (65C30) Chemical kinetics in thermodynamics and heat transfer (80A30) Numerical methods for stiff equations (65L04)

Related Items (6)

Stochastic averaging principle for two-time-scale jump-diffusion SDEs under the non-Lipschitz coefficients ⋮ A strong convergence rate of the averaging principle for two-time-scale forward-backward stochastic differential equations ⋮ A strong averaging principle rate for two-time-scale coupled forward-backward stochastic differential equations driven by fractional Brownian motion ⋮ Asymptotic analysis of a TMDD model: when a reaction contributes to the destruction of its product ⋮ Strong averaging principle for two-time-scale stochastic McKean-Vlasov equations ⋮ Explicit Integration of Stiff Stochastic Differential Equations via an Efficient Implementation of Stochastic Computational Singular Perturbation

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