Efficient and Reliable A Posteriori Error Estimators for Elliptic Obstacle Problems
SIAM Journal on Numerical Analysis
SIAM Journal on Control and Optimization
Computers & Mathematics with Applications
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We develop a method for adaptive mesh refinement for steady state problems that arise in the numerical solution of Cahn-Hilliard equations with an obstacle free energy. The problem is discretized in time by the backward-Euler method and in space by linear finite elements. The adaptive mesh refinement is performed using residual based a posteriori estimates; the time step is adapted using a heuristic criterion. We describe the space-time adaptive algorithm and present numerical experiments in two and three space dimensions that demonstrate the usefulness of our approach.