Stochastic differential equations (3rd ed.): an introduction with applications
Stochastic differential equations (3rd ed.): an introduction with applications
High strong order explicit Runge-Kutta methods for stochastic ordinary differential equations
Applied Numerical Mathematics - Special issue celebrating the centenary of Runge-Kutta methods
Variable step size control in the numerical solution of stochastic differential equations
SIAM Journal on Applied Mathematics
Step size control in the numerical solution of stochastic differential equations
Journal of Computational and Applied Mathematics
Optimal approximation of stochastic differential equations by adaptive step-size control
Mathematics of Computation
The optimal discretization of stochastic differential equations
Journal of Complexity
Order Conditions of Stochastic Runge--Kutta Methods by B-Series
SIAM Journal on Numerical Analysis
An adaptive timestepping algorithm for stochastic differential equations
Journal of Computational and Applied Mathematics
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)
A new adaptive Runge-Kutta method for stochastic differential equations
Journal of Computational and Applied Mathematics
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The efficient numerical solution of stochastic differential equations is important for applications in many fields. Adaptive schemes, well developed in the deterministic setting, may be one possible way to reduce computational cost. We review the two main step size control algorithms that have been proposed in recent years for stochastic differential systems and compare their efficiency in a simulation study.