In this paper we develop a new approach for the stable approximation of a minimal surface problem associated with a relaxed Dirichlet problem in the space $BV(\Omega)$ of functions of bounded variation. The problem can be reformulated as an unconstrained minimization problem of a functional $\mathcal{J}$ on $BV(\Omega)$ defined by $\mathcal{J}(u) =\mathcal{A}(u)+\int_{\partial\Omega}|Tu-\phi|$ , where $\mathcal{A}(u)$ is the “area integral” of $u$ with respect to $\Omega,T$ is the “trace operator” from $BV(\Omega)$ into $L^1(\partial\Omega)$ , and $\phi$ is the prescribed data on the boundary of $\Omega$ . We establish convergence and stability of approximate regularized solutions which are solutions of a family of variational inequalities. We also prove convergence of an iterative method based on Uzawa′s algorithm for implementation of our regularization procedure.
@article{1049737247,
author = {Nashed, M. Zuhair and Scherzer, Otmar},
title = {Stable approximations of a minimal surface problem with
variational inequalities},
journal = {Abstr. Appl. Anal.},
volume = {2},
number = {1-2},
year = {1997},
pages = { 137-161},
language = {en},
url = {http://dml.mathdoc.fr/item/1049737247}
}
Nashed, M. Zuhair; Scherzer, Otmar. Stable approximations of a minimal surface problem with
variational inequalities. Abstr. Appl. Anal., Tome 2 (1997) no. 1-2, pp. 137-161. http://gdmltest.u-ga.fr/item/1049737247/