AbstractIn this paper we discuss three-stage stochastic Runge–Kutta (SRK) methods with strong order 1.0 for a strong solution of Stratonovich stochastic differential equations (SDEs). Higher deterministic order is considered. Two methods, a three-stage explicit (E3) method and a three-stage semi-implicit (SI3) method, are constructed in this paper. The stability properties and numerical results show the effectiveness of these methods in the pathwise approximation of several standard test problems
AbstractIn a previous paper, we proposed the stochastic generalization of classical second-order two...
In this paper, we develop a new class of conservative continuous-stage stochastic Runge–Kutta method...
In many modeling situations in which parameter values can only be estimated or are subject to noise,...
AbstractIn this paper we discuss three-stage stochastic Runge–Kutta (SRK) methods with strong order ...
In Burrage and Burrage [1] it was shown that by introducing a very general formulation for stochasti...
In this paper we discuss implicit methods based on stiffly accurate Runge–Kutta methods and splittin...
In this paper we construct implicit stochastic Runge-Kutta (SRK) methods for solving stochastic diff...
AbstractIt is well known that the numerical solution of stiff stochastic ordinary differential equat...
In this paper, we discuss the numerical solutions to index 1 stochastic differential algebraic equat...
Explicit stochastic Runge–Kutta (SRK) methods are constructed for non-commutative Itô and Stratonovi...
In this paper we discuss implicit methods based on stiffly accurate Runge-Kutta methods and splittin...
AbstractThe way to obtain deterministic Runge–Kutta methods from Taylor approximations is generalize...
The pioneering work of Runge and Kutta a hundred years ago has ultimately led to suites of sophistic...
In this paper, we derive new two stage explicit SRK methods with weak order 1 for SDEs with one. Wit...
In this paper, general order conditions and a global convergence proof are given for stochastic Rung...
AbstractIn a previous paper, we proposed the stochastic generalization of classical second-order two...
In this paper, we develop a new class of conservative continuous-stage stochastic Runge–Kutta method...
In many modeling situations in which parameter values can only be estimated or are subject to noise,...
AbstractIn this paper we discuss three-stage stochastic Runge–Kutta (SRK) methods with strong order ...
In Burrage and Burrage [1] it was shown that by introducing a very general formulation for stochasti...
In this paper we discuss implicit methods based on stiffly accurate Runge–Kutta methods and splittin...
In this paper we construct implicit stochastic Runge-Kutta (SRK) methods for solving stochastic diff...
AbstractIt is well known that the numerical solution of stiff stochastic ordinary differential equat...
In this paper, we discuss the numerical solutions to index 1 stochastic differential algebraic equat...
Explicit stochastic Runge–Kutta (SRK) methods are constructed for non-commutative Itô and Stratonovi...
In this paper we discuss implicit methods based on stiffly accurate Runge-Kutta methods and splittin...
AbstractThe way to obtain deterministic Runge–Kutta methods from Taylor approximations is generalize...
The pioneering work of Runge and Kutta a hundred years ago has ultimately led to suites of sophistic...
In this paper, we derive new two stage explicit SRK methods with weak order 1 for SDEs with one. Wit...
In this paper, general order conditions and a global convergence proof are given for stochastic Rung...
AbstractIn a previous paper, we proposed the stochastic generalization of classical second-order two...
In this paper, we develop a new class of conservative continuous-stage stochastic Runge–Kutta method...
In many modeling situations in which parameter values can only be estimated or are subject to noise,...