Backward step control for Hilbert space problems

We analyze backward step control globalization for finding zeros of Gâteaux-differentiable functions that map from a Banach space to a Hilbert space. The results include global convergence to a distinctive solution characterized by propagating the initial guess by a generalized Newton flow with gua...

Full description

Saved in:
Bibliographic Details
Main Author: Potschka, Andreas (Author)
Format: Article (Journal)
Language:English
Published: 11 May 2018
In: Numerical algorithms
Year: 2019, Volume: 81, Issue: 1, Pages: 151-180
ISSN:1572-9265
DOI:10.1007/s11075-018-0539-6
Online Access:Verlag, Volltext: https://doi.org/10.1007/s11075-018-0539-6
Get full text
Author Notes:Andreas Potschka
Description
Summary:We analyze backward step control globalization for finding zeros of Gâteaux-differentiable functions that map from a Banach space to a Hilbert space. The results include global convergence to a distinctive solution characterized by propagating the initial guess by a generalized Newton flow with guaranteed bounds on the discrete nonlinear residual norm decrease and an (also numerically) easily controllable asymptotic linear residual convergence rate. The convergence theory can be exploited to construct efficient numerical methods, which we demonstrate for the case of a Krylov-Newton method and an approximation-by-discretization multilevel framework. Both approaches optimize the asymptotic linear residual convergence rate, either over the Krylov subspace or through adaptive discretization, which in turn yields practical and efficient stopping criteria and refinement strategies that balance the nonlinear residuals with the relative residuals of the linear systems. We apply these methods to the class of nonlinear elliptic boundary value problems and present numerical results for the Carrier equation and the minimum surface equation.
Item Description:Gesehen am 03.07.2019
Physical Description:Online Resource
ISSN:1572-9265
DOI:10.1007/s11075-018-0539-6