Split-step Adams–Moulton Milstein methods for systems of stiff stochastic differential equations
DOI10.1080/00207160.2014.915963zbMath1316.60100OpenAlexW1984965123MaRDI QIDQ5248080
David A. Voss, Abdul Q. M. Khaliq
Publication date: 27 April 2015
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2014.915963
stochastic differential equationspredictor-corrector methodstiff equationssplit-step methodmean-square stability
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Stability and convergence of numerical methods for ordinary differential equations (65L20) Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30)
Related Items (13)
Cites Work
- A class of split-step balanced methods for stiff stochastic differential equations
- Convergence and stability of the split-step \(\theta \)-method for stochastic differential equations
- Split-step backward balanced Milstein methods for stiff stochastic systems
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- Balanced Milstein Methods for Ordinary SDEs
- The composite Euler method for stiff stochastic differential equations
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