Journal of Computational and Applied Mathematics - Special issue: Selected papers from the conference on computational and mathematical methods for science and engineering (CMMSE-2002) Alicante University, Spain, 20-25 september 2002
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)
Mean-square stability of second-order Runge-Kutta methods for stochastic differential equations
Journal of Computational and Applied Mathematics
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
Continuous weak approximation for stochastic differential equations
Journal of Computational and Applied Mathematics
Mathematics and Computers in Simulation
Journal of Computational and Applied Mathematics
Applied Numerical Mathematics
Journal of Computational Physics
Mean-square stability of second-order Runge-Kutta methods for stochastic differential equations
Journal of Computational and Applied Mathematics
Runge-Kutta Methods for the Strong Approximation of Solutions of Stochastic Differential Equations
SIAM Journal on Numerical Analysis
Stochastic Runge-Kutta Methods for Itô SODEs with Small Noise
SIAM Journal on Scientific Computing
Weak second order S-ROCK methods for Stratonovich stochastic differential equations
Journal of Computational and Applied Mathematics
SIAM Journal on Scientific Computing
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A general procedure to construct weak methods for the numerical solution of stochastic differential systems is presented. As in the deterministic case, the procedure consists of comparing the stochastic expansion of the approximation with the corresponding Taylor scheme. In this way the authors obtain the order conditions that a stochastic Runge--Kutta method must satisfy to have weak order two. Explicit examples of generalizations of the classical family of second order two-stage explicit Runge--Kutta methods are shown. Also numerical examples are presented.