STRONG PREDICTOR–CORRECTOR EULER METHODS FOR STOCHASTIC DIFFERENTIAL EQUATIONS
DOI10.1142/S0219493708002457zbMath1158.60031OpenAlexW2079982921MaRDI QIDQ3548303
Nicola Bruti-Liberati, Eckhard Platen
Publication date: 11 December 2008
Published in: Stochastics and Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0219493708002457
Probabilistic models, generic numerical methods in probability and statistics (65C20) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30)
Related Items (4)
Cites Work
- Unnamed Item
- Unnamed Item
- A note on the balanced method
- \(A\)-stability of Runge-Kutta methods for systems with additive noise
- Higher-order implicit strong numerical schemes for stochastic differential equations
- Convergence and stability of implicit Runge-Kutta methods for systems with multiplicative noise
- Simulation of stochastic differential equations
- On weak implicit and predictor-corrector methods
- A Theorem on the Order of Convergence of Mean-Square Approximations of Solutions of Systems of Stochastic Differential Equations
- Balanced Implicit Methods for Stiff Stochastic Systems
- Mean-Square and Asymptotic Stability of the Stochastic Theta Method
- Predictor-Corrector Methods of Runge--Kutta Type for Stochastic Differential Equations
- Stability Analysis of Numerical Schemes for Stochastic Differential Equations
- Stability of weak numerical schemes for stochastic differential equations
This page was built for publication: STRONG PREDICTOR–CORRECTOR EULER METHODS FOR STOCHASTIC DIFFERENTIAL EQUATIONS