Reliable Numerical Solution of a Class of Nonlinear Elliptic Problems Generated by the Poisson–Boltzmann Equation
Abstract
We consider a class of nonlinear elliptic problems associated with models in biophysics, which are described by the Poisson–Boltzmann equation (PBE). We prove mathematical correctness of the problem, study a suitable class of approximations, and deduce guaranteed and fully computable bounds of approximation errors. The latter goal is achieved by means of the approach suggested in [] for convex variational problems. Moreover, we establish the error identity, which defines the error measure natural for the considered class of problems and show that it yields computable majorants and minorants of the global error as well as indicators of local errors that provide efficient adaptation of meshes. Theoretical results are confirmed by a collection of numerical tests that includes problems on 2D and 3D Lipschitz domains.
Main Authors
Format
Articles
Research article
Published
2020
Series
Subjects
Publication in research information system
Publisher
Walter de Gruyter GmbH
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202005273513Use this for linking
Review status
Peer reviewed
ISSN
1609-4840
DOI
https://doi.org/10.1515/cmam-2018-0252
Language
English
Published in
Computational Methods in Applied Mathematics
Citation
- Kraus, J., Nakov, S., & Repin, S. (2020). Reliable Numerical Solution of a Class of Nonlinear Elliptic Problems Generated by the Poisson–Boltzmann Equation. Computational Methods in Applied Mathematics, 20(2), 293-319. https://doi.org/10.1515/cmam-2018-0252
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