The linearized Cahn–Hilliard–Cook equation is discretized in the spatial variables by a standard finite-element method. Strong convergence estimates are proved under suitable assumptions on the covariance operator of the Wiener process, which is driving the equation. Backward Euler time stepping is also studied. The analysis is set in a framework based on analytic semigroups. The main effort is spent on proving detailed error bounds for the corresponding deterministic Cahn–Hilliard equation. The results should be interpreted as results on the approximation of the stochastic convolution, which is a part of the mild solution of the nonlinear Cahn–Hilliard–Cook equation
We apply the well-known Banach-Necas-Babuska inf-sup theory in a stochastic setting to introduce a w...
Semidiscrete finite element approximation of the linear stochastic wave equation (LSWE) with additiv...
AbstractThe paper studies the rate of convergence of the weak Euler approximation for solutions to S...
We study the nonlinear stochastic Cahn–Hilliard equation perturbed by additive colored noise. We sho...
The linearized Cahn–Hilliard–Cook equation is discretized in the spatial variables by a standard fin...
This thesis consists of three papers on numerical approximation of the Cahn-Hilliard equation. The m...
The linearized Cahn-Hilliard-Cook equation is discretized in the spatial variables by a standard f...
The linearized Cahn-Hilliard-Cook equation is discretized in the spatial variables by a standard f...
AbstractIn this paper, we study the existence and uniqueness of mild solutions to semilinear backwar...
summary:The Cauchy problem for a stochastic partial differential equation with a spatial correlated ...
We consider the stochastic Cahn-Hilliard equation with additive noise term $\varepsilon^\gamma g\, \...
We prove essential self-adjointness of Kolmogorov operators corresponding to gradient systems with p...
The main aim of this paper is to study stochastic PDE's with delay terms. In fact, we prove existenc...
We find the weak rate of convergence of approximate solutions of the nonlinear stochastic heat equat...
We prove essential self-adjointness of Kolmogorov operators corresponding to gradient systems with p...
We apply the well-known Banach-Necas-Babuska inf-sup theory in a stochastic setting to introduce a w...
Semidiscrete finite element approximation of the linear stochastic wave equation (LSWE) with additiv...
AbstractThe paper studies the rate of convergence of the weak Euler approximation for solutions to S...
We study the nonlinear stochastic Cahn–Hilliard equation perturbed by additive colored noise. We sho...
The linearized Cahn–Hilliard–Cook equation is discretized in the spatial variables by a standard fin...
This thesis consists of three papers on numerical approximation of the Cahn-Hilliard equation. The m...
The linearized Cahn-Hilliard-Cook equation is discretized in the spatial variables by a standard f...
The linearized Cahn-Hilliard-Cook equation is discretized in the spatial variables by a standard f...
AbstractIn this paper, we study the existence and uniqueness of mild solutions to semilinear backwar...
summary:The Cauchy problem for a stochastic partial differential equation with a spatial correlated ...
We consider the stochastic Cahn-Hilliard equation with additive noise term $\varepsilon^\gamma g\, \...
We prove essential self-adjointness of Kolmogorov operators corresponding to gradient systems with p...
The main aim of this paper is to study stochastic PDE's with delay terms. In fact, we prove existenc...
We find the weak rate of convergence of approximate solutions of the nonlinear stochastic heat equat...
We prove essential self-adjointness of Kolmogorov operators corresponding to gradient systems with p...
We apply the well-known Banach-Necas-Babuska inf-sup theory in a stochastic setting to introduce a w...
Semidiscrete finite element approximation of the linear stochastic wave equation (LSWE) with additiv...
AbstractThe paper studies the rate of convergence of the weak Euler approximation for solutions to S...