Adaptive Pseudo-Transient-Continuation-Galerkin Methods for Semilinear Elliptic Partial Differential Equations
This work provides a robust numerical framework for solving challenging semilinear elliptic problems, but the improvements are incremental over existing PTC and adaptive FEM methods.
The paper develops a fully adaptive pseudo-transient-continuation-Galerkin method for solving semilinear elliptic PDEs, combining prediction-type PTC with adaptive finite elements, and demonstrates robustness and reliability through numerical experiments.
In this paper we investigate the application of pseudo-transient-continuation (PTC) schemes for the numerical solution of semilinear elliptic partial differential equations, with possible singular perturbations. We will outline a residual reduction analysis within the framework of general Hilbert spaces, and, subsequently, employ the PTC-methodology in the context of finite element discretizations of semilinear boundary value problems. Our approach combines both a prediction-type PTC-method (for infinite dimensional problems) and an adaptive finite element discretization (based on a robust a posteriori residual analysis), thereby leading to a fully adaptive PTC-Galerkin scheme. Numerical experiments underline the robustness and reliability of the proposed approach for different examples.