Stopping criteria for nonlinear variational problems: iterative approach
Abstract In this paper, we present and study a stopping criteria based on a priori error estimate for nonlinear variational problems. We show that for nonlinear variational problems, the a priori error estimate is divided into two sub errors namely: the discretization error and the linearization error. We then used that representation to devise a stopping criteria that help to reduce the computational time. The methodology is applied to three problems and the numerical results demonstrate the superiority of the new approach.
Authors
- Toni Sayah (ORCID: https://orcid.org/0000-0003-1820-4194)
- Jules Djoko Kamdem
Institutions
- Saint Joseph University (LB)
- North-West University (ZA)
Publication Details
- Journal
- Numerical Algorithms
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1007/s11075-024-01969-8
- Citations
- 1
- Primary Topic
- Optimization and Variational Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.36
Funders
- North-West University