Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Fourth Order Chebyshev Methods with Recurrence Relation
SIAM Journal on Scientific Computing
Weak Second Order Conditions for Stochastic Runge--Kutta Methods
SIAM Journal on Scientific Computing
Mean-Square and Asymptotic Stability of the Stochastic Theta Method
SIAM Journal on Numerical Analysis
Weak order stochastic Runge-Kutta methods for commutative stochastic differential equations
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
S-ROCK: Chebyshev Methods for Stiff Stochastic Differential Equations
SIAM Journal on Scientific Computing
Journal of Computational and Applied Mathematics
Applied Numerical Mathematics
Strong first order S-ROCK methods for stochastic differential equations
Journal of Computational and Applied Mathematics
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It is well known that the numerical solution of stiff stochastic ordinary differential equations leads to a step size reduction when explicit methods are used. This has led to a plethora of implicit or semi-implicit methods with a wide variety of stability properties. However, for stiff stochastic problems in which the eigenvalues of a drift term lie near the negative real axis, such as those arising from stochastic partial differential equations, explicit methods with extended stability regions can be very effective. In the present paper our aim is to derive explicit Runge-Kutta schemes for non-commutative Stratonovich stochastic differential equations, which are of weak order two and which have large stability regions. This will be achieved by the use of a technique in Chebyshev methods for ordinary differential equations.