In this paper the strong approximation of a stochastic partial differential equation, whose differential operator is of advection--diffusion type and which is driven by a multiplicative infinite-dimensional càdlàg square integrable martingale, is presented. A finite-dimensional projection of the infinite-dimensional equation, for example a Galerkin projection, with adapted time stepping is used. Error estimates for the discretized equation are derived in $L^2$ and almost sure senses. Besides space and time discretizations, noise approximations are also provided. Finally, simulations complete the paper
In this paper, we develop a strong Milstein approximation scheme for solving stochastic delay differ...
This paper is concerned with numerical approximations for a class of nonlinear stochastic partial di...
Abstract. We consider the numerical approximation of a general second order semi–linear parabolic st...
In this paper, the strong approximation of a stochastic partial differential equation, whose differe...
In this paper, the strong approximation of a stochastic partial differential equation, whose differe...
In this paper $L^p$ convergence and almost sure convergence of the Milstein approximation of a parti...
In this paper, Lp convergence and almost sure convergence of the Milstein approximation of a partial...
This work describes a Galerkin type method for stochastic partial differential equations of Zakai ty...
This article studies an infinite-dimensional analog of Milstein's scheme for finite-dimensional stoc...
A finite element Galerkin spatial discretization together with a backward Euler scheme is implemente...
A finite element Galerkin spatial discretization together with a backward Euler scheme is implemente...
We consider the numerical approximation of a general second order semi–linear parabolic stochastic p...
Abstract We study the semidiscrete Galerkin approximation of a stochastic parabolic partial differ...
Abstract. We consider the numerical approximation of general semilinear parabolic stochastic partial...
In this paper, we develop a strong Milstein approximation scheme for solving stochastic delay differ...
In this paper, we develop a strong Milstein approximation scheme for solving stochastic delay differ...
This paper is concerned with numerical approximations for a class of nonlinear stochastic partial di...
Abstract. We consider the numerical approximation of a general second order semi–linear parabolic st...
In this paper, the strong approximation of a stochastic partial differential equation, whose differe...
In this paper, the strong approximation of a stochastic partial differential equation, whose differe...
In this paper $L^p$ convergence and almost sure convergence of the Milstein approximation of a parti...
In this paper, Lp convergence and almost sure convergence of the Milstein approximation of a partial...
This work describes a Galerkin type method for stochastic partial differential equations of Zakai ty...
This article studies an infinite-dimensional analog of Milstein's scheme for finite-dimensional stoc...
A finite element Galerkin spatial discretization together with a backward Euler scheme is implemente...
A finite element Galerkin spatial discretization together with a backward Euler scheme is implemente...
We consider the numerical approximation of a general second order semi–linear parabolic stochastic p...
Abstract We study the semidiscrete Galerkin approximation of a stochastic parabolic partial differ...
Abstract. We consider the numerical approximation of general semilinear parabolic stochastic partial...
In this paper, we develop a strong Milstein approximation scheme for solving stochastic delay differ...
In this paper, we develop a strong Milstein approximation scheme for solving stochastic delay differ...
This paper is concerned with numerical approximations for a class of nonlinear stochastic partial di...
Abstract. We consider the numerical approximation of a general second order semi–linear parabolic st...