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Article . 2024
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Computational Geosciences
Article . 2024 . Peer-reviewed
License: Springer Nature TDM
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Adaptive regularization for the Richards equation

Authors: Févotte, François; Rappaport, Ari; Vohralík, Martin;

Adaptive regularization for the Richards equation

Abstract

Richards equation is ubiquitous in the modelling of flows in porous media. It serves as a model in its own right, but also as a stepping stone to more complex models of multiphase flows. Despite its relative simplicity, it provides many challenges from a computational point of view due to the nonsmooth and degenerate nature of the functions that appear in the equation. In this paper, we replace these functions with regularized (smooth and nondegenerate) counterparts where the amount of added regualrization is controlled by a single parameter. We also introduce a set of a posteriori error estimators that we use to construct adaptive stopping criteria. In particular, we use a stopping criterion to reduce the decrease the regularization parameter, which we refer to as adaptive regularization. The full adaptive algorithm is tested on a suite of numerical examples adapted from other recent works on improving the robustness of solvers for the Richards equation.

Keywords

Adaptivity, Newton's method, [INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA], Regularization, Richards equation

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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!
1
Average
Average
Average
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