Affine invariant adaptive Newton codes for discretized PDEs:

Abstract: "The paper deals with three different Newton algorithms that have recently been worked out in the general frame of affine invariance. Of particular interest is their performance in the numerical solution of discretized boundary value problems (BVPs) for nonlinear partial differential...

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Bibliographische Detailangaben
Hauptverfasser: Deuflhard, Peter 1944-2019 (VerfasserIn), Nowak, Ulrich (VerfasserIn), Weiser, Martin 1970- (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Berlin Konrad-Zuse-Zentrum für Informationstechnik 2002
Schriftenreihe:ZIB-Report / Konrad-Zuse-Zentrum für Informationstechnik Berlin 2002,33
Schlagworte:
Zusammenfassung:Abstract: "The paper deals with three different Newton algorithms that have recently been worked out in the general frame of affine invariance. Of particular interest is their performance in the numerical solution of discretized boundary value problems (BVPs) for nonlinear partial differential equations (PDEs). Exact Newton methods, where the arising linear systems are solved by direct elimination, and inexact Newton methods, where an inner iteration is used instead, are synoptically presented, both in affine invariant convergence theory and in numerical experiments. The three types of algorithms are: (a) affine covariant (formerly just called affine invariant) Newton algorithms, oriented toward the iterative errors, (b) affine contravariant Newton algorithms, based on iterative residual norms, and (c) affine conjugate Newton algorithms for convex optimization problems and discrete nonlinear elliptic PDEs."
Beschreibung:27 S. graph. Darst.

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