Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
518881 | Journal of Computational Physics | 2012 | 15 Pages |
Abstract
The solution of Allen–Cahn variational inequalities with mass constraints is of interest in many applications. This problem can be solved both in its scalar and vector-valued form as a PDE-constrained optimization problem by means of a primal–dual active set method. At the heart of this method lies the solution of linear systems in saddle point form. In this paper we propose the use of Krylov-subspace solvers and suitable preconditioners for the saddle point systems. Numerical results illustrate the competitiveness of this approach.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Luise Blank, Lavinia Sarbu, Martin Stoll,