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
Strong discrete time approximation of stochastic differential equations with time delay
Mathematics and Computers in Simulation
Introduction to the numerical analysis of stochastic delay differential equations
Journal of Computational and Applied Mathematics - Special issue on numerical anaylsis 2000 Vol. VI: Ordinary differential equations and integral equations
Mean-Square and Asymptotic Stability of the Stochastic Theta Method
SIAM Journal on Numerical Analysis
Weak discrete time approximation of stochastic differential equations with time delay
Mathematics and Computers in Simulation
Numerical solutions of stochastic differential delay equations under local Lipschitz condition
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
The split-step backward Euler method for linear stochastic delay differential equations
Journal of Computational and Applied Mathematics
An analysis of stability of milstein method for stochastic differential equations with delay
Computers & Mathematics with Applications
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Delay-dependent stability analysis of numerical methods for stochastic delay differential equations
Journal of Computational and Applied Mathematics
Mathematical and Computer Modelling: An International Journal
Journal of Computational and Applied Mathematics
A derivative-free explicit method with order 1.0 for solving stochastic delay differential equations
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Split-step θ-method for stochastic delay differential equations
Applied Numerical Mathematics
Hi-index | 7.30 |
The paper deals with convergence and stability of the semi-implicit Euler method for a linear stochastic differential delay equation. It is proved that the semi-implicit Euler method is convergent with strong order p=½. The conditions under which the method is MS-stable and GMS-stable are determined and the numerical experiments are given.