The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods
The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods
High strong order explicit Runge-Kutta methods for stochastic ordinary differential equations
Applied Numerical Mathematics - Special issue celebrating the centenary of Runge-Kutta methods
Stability Analysis of Numerical Schemes for Stochastic Differential Equations
SIAM Journal on Numerical Analysis
Order Conditions of Stochastic Runge--Kutta Methods by B-Series
SIAM Journal on Numerical Analysis
Split-step forward methods for stochastic differential equations
Journal of Computational and Applied Mathematics
Convergence and stability of the split-step θ-method for stochastic differential equations
Computers & Mathematics with Applications
Stochastic system identification by evolutionary algorithms
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
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In this paper we discuss three-stage stochastic Runge-Kutta (SRK) methods with strong order 1.0 for a strong solution of Stratonovich stochastic differential equations (SDEs). Higher deterministic order is considered. Two methods, a three-stage explicit (E3) method and a three-stage semi-implicit (SI3) method, are constructed in this paper. The stability properties and numerical results show the effectiveness of these methods in the pathwise approximation of several standard test problems.