Charles Explorer logo
🇬🇧

Goal-oriented mesh adaptation method for nonlinear problems including algebraic errors

Publication at Faculty of Mathematics and Physics |
2021

Abstract

We deal with the goal-oriented error estimates and mesh adaptation for nonlinear partial differential equations. The setting of the adjoint problem and the resulting estimates are not based on a differentiation of the primal problem but on a suitable linearization which guarantees the adjoint consistency of the numerical scheme.

Furthermore, we develop an efficient adaptive algorithm which balances the errors arising from the discretization and the use of nonlinear as well as linear iterative solvers. Several numerical examples demonstrate the efficiency of this algorithm.