Truncated nonsmooth newton multigrid methods for convex minimization problems

Gräser C, Sack U, Sander O (2009)


Publication Type: Conference contribution

Publication year: 2009

Journal

Book Volume: 70 LNCSE

Pages Range: 129-136

Conference Proceedings Title: Lecture Notes in Computational Science and Engineering

ISBN: 9783642026768

DOI: 10.1007/978-3-642-02677-5_12

Abstract

We present a new inexact nonsmooth Newton method for the solution of convex minimization problems with piecewise smooth, pointwise nonlinearities. The algorithm consists of a nonlinear smoothing step on the fine level and a linear coarse correction. Suitable postprocessing guarantees global convergence even in the case of a single multigrid step for each linear subproblem. Numerical examples show that the overall efficiency is comparable to multigrid for similar linear problems. © 2009 Springer-Verlag Berlin Heidelberg.

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How to cite

APA:

Gräser, C., Sack, U., & Sander, O. (2009). Truncated nonsmooth newton multigrid methods for convex minimization problems. In Lecture Notes in Computational Science and Engineering (pp. 129-136).

MLA:

Gräser, Carsten, Uli Sack, and Oliver Sander. "Truncated nonsmooth newton multigrid methods for convex minimization problems." Proceedings of the 18th International Conference of Domain Decomposition Methods 2009. 129-136.

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