Regularization Methods for the Numerical Solution of the Divergence Equation $∇· u = f$

Regularization Methods for the Numerical Solution of the Divergence Equation $∇· u = f$

Year:    2012

Journal of Computational Mathematics, Vol. 30 (2012), Iss. 4 : pp. 354–380

Abstract

The problem of finding a $L^∞$-bounded two-dimensional vector field whose divergence is given in $L^2$ is discussed from the numerical viewpoint. A systematic way to find such a vector field is to introduce a non-smooth variational problem involving a $L^∞$-norm. To solve this problem from calculus of variations, we use a method relying on a well-chosen augmented Lagrangian functional and on a mixed finite element approximation. An Uzawa algorithm allows to decouple the differential operators from the nonlinearities introduced by the $L^∞$-norm, and leads to the solution of a sequence of Stokes-like systems and of an infinite family of local nonlinear problems. A simpler method, based on a $L^2$-regularization is also considered. Numerical experiments are performed, making use of appropriate numerical integration techniques when non-smooth data are considered; they allow to compare the merits of the two approaches discussed in this article and to show the ability of the related methods at capturing $L^∞$-bounded solutions.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/jcm.1111-m3776

Journal of Computational Mathematics, Vol. 30 (2012), Iss. 4 : pp. 354–380

Published online:    2012-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    27

Keywords:    Divergence equation Bounded solutions Regularization methods Augmented Lagrangian Uzawa algorithm Nonlinear variational problems.

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