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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Numerische Mathemati...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Numerische Mathematik
Article . 2002 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Data sources: zbMATH Open
DBLP
Article . 2002
Data sources: DBLP
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A numerical approach to degenerate parabolic equations

Authors: Iuliu Sorin Pop; Wen-An Yong;

A numerical approach to degenerate parabolic equations

Abstract

A class of degenerate parabolic equations typically describing the gas flow through porous media is considered. The numerical difficulties in treating such problems arise from the nonlinear degeneracy of the equations. Such problems can be investigated through a parabolic regularization which can be constructed in different ways. On the other hand if positive solutions are sought, the difficulties due to the degeneracy can be overcome by perturbing the data such that the corresponding solutions do admit the value of the degenerate point. The aim of this paper is in using this technique for obtaining the numerical solution, that means to solve numerically the problem with locally perturbed initial and boundary data instead of the prescribed ones. The idea of maximum principle guarantees that the resulting solution takes values away from the degenerate point. This article extends the author's previous results for another class of problems. The efficiency of this method is shown analytically, stability results and error estimates for the numerical to the weak solution are presented. Some numerical experiments at the end of this paper confirm that this new method is comparable with existing ones.

Country
Netherlands
Keywords

Method of lines for initial value and initial-boundary value problems involving PDEs, positive solutions, Flows in porous media; filtration; seepage, gas flow through porous media, parabolic regularization, stability, Degenerate parabolic equations, Error bounds for initial value and initial-boundary value problems involving PDEs, maximum principle, degenerate parabolic equation, error estimates, perturbation of initial data, Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs, numerical experiments

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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!
30
Top 10%
Top 10%
Average
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