In this paper we discuss implicit methods based on stiffly accurate Runge–Kutta methods and splitting techniques for solving Stratonovich stochastic differential equations (SDEs). Two splitting techniques: the balanced splitting technique and the deterministic splitting technique, are used in this paper. We construct a two-stage implicit Runge–Kutta method with strong order 1.0 which is corrected twice and no update is needed. The stability properties and numerical results show that this approach is suitable for solving stiff SDEs
In this paper we discuss implicit Taylor methods for stiff Ito stochastic differential equations. Ba...
A fully implicit integration method for stochastic differential equations with significant multipl...
We introduce a new family of explicit integrators for stiff Itô stochastic differential equations (S...
In this paper we discuss implicit methods based on stiffly accurate Runge-Kutta methods and splittin...
AbstractIt is well known that the numerical solution of stiff stochastic ordinary differential equat...
In this paper we construct implicit stochastic Runge-Kutta (SRK) methods for solving stochastic diff...
AbstractIn this paper we discuss three-stage stochastic Runge–Kutta (SRK) methods with strong order ...
It is well known that the numerical solution of stiff stochastic differential equations (SDEs) leads...
The paper introduces implicitness in stochastic terms of numerical methods for solving of stiff stoc...
Abstract. In this paper, we present a class of explicit numerical methods for stiff Ito ̂ stochastic...
Abstract. We present an easy to implement drift splitting numerical method for the approxi-mation of...
The Balanced method was introduced as a class of quasi-implicit methods, based upon the Euler-Maruya...
We propose new explicit exponential Runge-Kutta methods for the weak approximation of solutions of s...
We present and analyze a new class of numerical methods for the solution of stiff stochastic differe...
It is well known that the numerical solution of stiff stochastic ordinary differential equations lea...
In this paper we discuss implicit Taylor methods for stiff Ito stochastic differential equations. Ba...
A fully implicit integration method for stochastic differential equations with significant multipl...
We introduce a new family of explicit integrators for stiff Itô stochastic differential equations (S...
In this paper we discuss implicit methods based on stiffly accurate Runge-Kutta methods and splittin...
AbstractIt is well known that the numerical solution of stiff stochastic ordinary differential equat...
In this paper we construct implicit stochastic Runge-Kutta (SRK) methods for solving stochastic diff...
AbstractIn this paper we discuss three-stage stochastic Runge–Kutta (SRK) methods with strong order ...
It is well known that the numerical solution of stiff stochastic differential equations (SDEs) leads...
The paper introduces implicitness in stochastic terms of numerical methods for solving of stiff stoc...
Abstract. In this paper, we present a class of explicit numerical methods for stiff Ito ̂ stochastic...
Abstract. We present an easy to implement drift splitting numerical method for the approxi-mation of...
The Balanced method was introduced as a class of quasi-implicit methods, based upon the Euler-Maruya...
We propose new explicit exponential Runge-Kutta methods for the weak approximation of solutions of s...
We present and analyze a new class of numerical methods for the solution of stiff stochastic differe...
It is well known that the numerical solution of stiff stochastic ordinary differential equations lea...
In this paper we discuss implicit Taylor methods for stiff Ito stochastic differential equations. Ba...
A fully implicit integration method for stochastic differential equations with significant multipl...
We introduce a new family of explicit integrators for stiff Itô stochastic differential equations (S...