These notes describe numerical issues that may arise when implementing a simulation method for a stochastic partial differential equation (SPDE). It is shown that an additional approximation of the noise does not necessarily affect the order of convergence of a discretization method for a SPDE driven by L\ue9vy noise. Furthermore, finite element methods are explicitly given and simulations are done. In statistical tests, it is shown that the simulations obey the theoretical orders of convergence. \ua9 2012 Copyright Taylor and Francis Group, LLC
A finite element Galerkin spatial discretization together with a backward Euler scheme is implemente...
Abstract. We study finite element approximations of stochastic partial dif-ferential equations of Gi...
M. Ostoja-Starzewski. 2 This paper outlines a procedure for solution of stochastic partial different...
These notes describe numerical issues that may arise when implementing a simulation method for a sto...
In order to simulate solutions to stochastic partial differential equations (SPDE) they must be appr...
The present review discusses recent developments in numerical techniques for the solution of systems...
This paper is concerned with the numerical approximation of some linear stochastic partial different...
Stochastic partial differential equations (SPDE) must be approximated in space and time to allow for...
The stochastic finite element method is an important technique for solving stochastic partial differ...
This work develops numerical techniques for the simulation of systems with stochastic parameters, mo...
Mathematical models of engineering systems and physical processes typically take the form of a parti...
A finite element Galerkin spatial discretization together with a backward Euler scheme is implemente...
A stochastic differential equation is a differential equation which contains at least one stochastic...
The stochastic finite element method is a recent technique for solving partial differential equation...
Introduction For the last thirty years, there has been interest in numerical simulation of solution...
A finite element Galerkin spatial discretization together with a backward Euler scheme is implemente...
Abstract. We study finite element approximations of stochastic partial dif-ferential equations of Gi...
M. Ostoja-Starzewski. 2 This paper outlines a procedure for solution of stochastic partial different...
These notes describe numerical issues that may arise when implementing a simulation method for a sto...
In order to simulate solutions to stochastic partial differential equations (SPDE) they must be appr...
The present review discusses recent developments in numerical techniques for the solution of systems...
This paper is concerned with the numerical approximation of some linear stochastic partial different...
Stochastic partial differential equations (SPDE) must be approximated in space and time to allow for...
The stochastic finite element method is an important technique for solving stochastic partial differ...
This work develops numerical techniques for the simulation of systems with stochastic parameters, mo...
Mathematical models of engineering systems and physical processes typically take the form of a parti...
A finite element Galerkin spatial discretization together with a backward Euler scheme is implemente...
A stochastic differential equation is a differential equation which contains at least one stochastic...
The stochastic finite element method is a recent technique for solving partial differential equation...
Introduction For the last thirty years, there has been interest in numerical simulation of solution...
A finite element Galerkin spatial discretization together with a backward Euler scheme is implemente...
Abstract. We study finite element approximations of stochastic partial dif-ferential equations of Gi...
M. Ostoja-Starzewski. 2 This paper outlines a procedure for solution of stochastic partial different...