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Mathematics and Computers in Simulation
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Article . 2007
Data sources: zbMATH Open
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Article . 2020
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On discrete maximum principles for nonlinear elliptic problems

Authors: Karátson, J.; Korotov, S.; Křížek, M. (Michal);

On discrete maximum principles for nonlinear elliptic problems

Abstract

The authors give a short review of the most important results devoted to discrete counterparts of the maximum principle associated with scalar second-order elliptic equations (called discrete maximum principles, DMPs), mainly in the framework of the finite element method. They then present their own results on DMPs for a class of second-order nonlinear elliptic problems with mixed boundary conditions.

Country
Czech Republic
Keywords

nonlinear elliptic problem, Error bounds for boundary value problems involving PDEs, Nonlinear boundary value problems for linear elliptic equations, finite element method, mixed boundary conditions, discrete maximum principle, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs, second-order nonlinear elliptic problems, Maximum principles in context of PDEs

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
bronze
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