Stability Analysis of Numerical Schemes for Stochastic Differential Equations
SIAM Journal on Numerical Analysis
Balanced Implicit Methods for Stiff Stochastic Systems
SIAM Journal on Numerical Analysis
Order Conditions of Stochastic Runge--Kutta Methods by B-Series
SIAM Journal on Numerical Analysis
Numerical Methods for Stochastic Systems Preserving Symplectic Structure
SIAM Journal on Numerical Analysis
Runge-Kutta methods for Stratonovich stochastic differential equation systems with commutative noise
Journal of Computational and Applied Mathematics - Special Issue: Proceedings of the 10th international congress on computational and applied mathematics (ICCAM-2002)
Multi-colored rooted tree analysis of the weak order conditions of a stochastic Runge--Kutta family
Applied Numerical Mathematics
Weak order stochastic Runge-Kutta methods for commutative stochastic differential equations
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Applied Numerical Mathematics
Weak second order S-ROCK methods for Stratonovich stochastic differential equations
Journal of Computational and Applied Mathematics
Asymptotic moment boundedness of the numerical solutions of stochastic differential equations
Journal of Computational and Applied Mathematics
Hi-index | 7.30 |
New fully implicit stochastic Runge-Kutta schemes of weak order 1 or 2 are proposed for stochastic differential equations with sufficiently smooth drift and diffusion coefficients and a scalar Wiener process, which are derivative-free and which are A-stable in mean square for a linear test equation in some general settings. They are sought in a transparent way and their convergence order and stability properties are confirmed in numerical experiments.