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.

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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

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article

Stopping criteria for nonlinear variational problems: iterative approach

Toni Sayah, Jules Djoko Kamdem
1 citations
Numerical Algorithms
Optimization and Variational Analysis
0.36
article

Stopping criteria for nonlinear variational problems: iterative approach

Toni Sayah, Jules Djoko Kamdem
article en
1 citations

Abstract

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.

Numerical AlgorithmsVol. 100(1)
Saint Joseph University (LB), North-West University (ZA)
North-West University
Openalex Percentile: Top 34%
Optimization and Variational Analysis
0.36
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