Generalized two-step Maruyama methods for stochastic differential equations
DOI10.1016/J.AMC.2018.03.003zbMath1427.65009OpenAlexW2795046409WikidataQ130109718 ScholiaQ130109718MaRDI QIDQ2333223
Publication date: 12 November 2019
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2018.03.003
stochastic differential equationmean-square convergencemean-square stabilityAdams methodmean-square consistencygeneralized two-step Maruyama method
Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Higher-order implicit strong numerical schemes for stochastic differential equations
- Adams methods for the efficient solution of stochastic differential equations with additive noise
- Adams-type methods for the numerical solution of stochastic ordinary differential equations
- Two-step Milstein schemes for stochastic differential equations
- Mean-square convergence of stochastic multi-step methods with variable step-size
- Asymptotic mean-square stability of two-step methods for stochastic ordinary differential equations
- Asymptotic mean-square stability of two-step Maruyama schemes for stochastic differential equations
- Continuous Markov processes and stochastic equations
- Mean-Square and Asymptotic Stability of the Stochastic Theta Method
- Stability Analysis of Numerical Schemes for Stochastic Differential Equations
- Multistep methods for SDEs and their application to problems with small noise
- Numerical Analysis of Stochastic Schemes in Geophysics
This page was built for publication: Generalized two-step Maruyama methods for stochastic differential equations