Ten lectures on wavelets
Mathematics of Computation
Introduction to the numerical analysis of stochastic delay differential equations
Journal of Computational and Applied Mathematics - Special issue on numerical anaylsis 2000 Vol. VI: Ordinary differential equations and integral equations
Galerkin Finite Element Methods for Parabolic Problems (Springer Series in Computational Mathematics)
Journal of Computational and Applied Mathematics
Convergence estimates of a projection-difference method for an operator-differential equation
Journal of Computational and Applied Mathematics
Weak approximation of the stochastic wave equation
Journal of Computational and Applied Mathematics
Spatial approximation of stochastic convolutions
Journal of Computational and Applied Mathematics
Higher Order Pathwise Numerical Approximations of SPDEs with Additive Noise
SIAM Journal on Numerical Analysis
Mathematics and Computers in Simulation
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The solution of stochastic evolution equations generally relies on numerical computation. Here, usually the main idea is to discretize the SPDE spatially obtaining a system of SDEs that can be solved by e.g., the Euler scheme. In this paper, we investigate the discretization error of semilinear stochastic evolution equations in Lp-spaces, resp. Banach spaces. The space discretization may be done by Galerkin approximation, for the time discretization we consider the implicit Euler, the explicit Euler scheme and the Crank-Nicholson scheme. In the last section, we give some examples i.e., we consider an SPDEs driven by nuclear Wiener noise approximated by wavelets and delay equation approximated by finite differences.