Newton's method in adaptive iteratively linearized FEM
Fuente:
arXiv
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866914214360121344 |
|---|---|
| author | Bringmann, Philipp Brunner, Maximilian Praetorius, Dirk |
| author_facet | Bringmann, Philipp Brunner, Maximilian Praetorius, Dirk |
| contents | This paper concerns the inclusion of Newton's method into an adaptive finite element method (FEM) for the solution of nonlinear partial differential equations (PDEs). It features an adaptive choice of the damping parameter in the Newton iteration for the discretized nonlinear problems on each level ensuring both global linear and local quadratic convergence. In contrast to energy-based arguments in the literature, a novel approach in the analysis considers the discrete dual norm of the residual as a computable measure for the linearization error. As a consequence, this paper provides the first convergence analysis with optimal rates of an adaptive iteratively linearized FEM beyond energy-minimization problems. The presented theory applies to strongly monotone operators with locally Lipschitz continuous Fréchet derivative. We present a class of semilinear PDEs fitting into this framework and provide numerical experiments to underline the theoretical results. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_19357 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Newton's method in adaptive iteratively linearized FEM Bringmann, Philipp Brunner, Maximilian Praetorius, Dirk Numerical Analysis 65N30, 65N50, 65N15, 65Y20, 41A25 This paper concerns the inclusion of Newton's method into an adaptive finite element method (FEM) for the solution of nonlinear partial differential equations (PDEs). It features an adaptive choice of the damping parameter in the Newton iteration for the discretized nonlinear problems on each level ensuring both global linear and local quadratic convergence. In contrast to energy-based arguments in the literature, a novel approach in the analysis considers the discrete dual norm of the residual as a computable measure for the linearization error. As a consequence, this paper provides the first convergence analysis with optimal rates of an adaptive iteratively linearized FEM beyond energy-minimization problems. The presented theory applies to strongly monotone operators with locally Lipschitz continuous Fréchet derivative. We present a class of semilinear PDEs fitting into this framework and provide numerical experiments to underline the theoretical results. |
| title | Newton's method in adaptive iteratively linearized FEM |
| topic | Numerical Analysis 65N30, 65N50, 65N15, 65Y20, 41A25 |
| url | https://arxiv.org/abs/2512.19357 |