The dynamics of some linear multistep methods with stepsize control
Numerical analysis 1987
Some experiments on numerical simulations of stochastic differential equations and a new algorithm
Journal of Computational Physics
Equilibrium states of Runge Kutta schemes
ACM Transactions on Mathematical Software (TOMS)
The essential stability of local error control for dynamical systems
SIAM Journal on Numerical Analysis
Probability theory
Stability Analysis of Numerical Schemes for Stochastic Differential Equations
SIAM Journal on Numerical Analysis
Variable step size control in the numerical solution of stochastic differential equations
SIAM Journal on Applied Mathematics
SIAM Journal on Numerical Analysis
Optimal approximation of stochastic differential equations by adaptive step-size control
Mathematics of Computation
Numerical solutions of stochastic differential equations — implementation and stability issues
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
A Variable Stepsize Implementation for Stochastic Differential Equations
SIAM Journal on Scientific Computing
An adaptive timestepping algorithm for stochastic differential equations
Journal of Computational and Applied Mathematics
The Effective Stability of Adaptive Timestepping ODE Solvers
SIAM Journal on Numerical Analysis
Journal of Computational and Applied Mathematics
On mean-square stability properties of a new adaptive stochastic Runge-Kutta method
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
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We consider stability properties of a class of adaptive time-stepping schemes based upon the Milstein method for stochastic differential equations with a single scalar forcing. In particular, we focus upon mean-square stability for a class of linear test problems with multiplicative noise. We demonstrate that desirable stability properties can be induced in the numerical solution by the use of two realistic local error controls, one for the drift term and one for the diffusion.