Global convergence of iterative solvers for problems of nonlinear magnetostatics

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Egger, Herbert, Engertsberger, Felix, Radu, Bogdan
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917624133189632
author Egger, Herbert
Engertsberger, Felix
Radu, Bogdan
author_facet Egger, Herbert
Engertsberger, Felix
Radu, Bogdan
contents We consider the convergence of iterative solvers for problems of nonlinear magnetostatics. Using the equivalence to an underlying minimization problem, we can establish global linear convergence of a large class of methods, including the damped Newton-method, fixed-point iteration, and the Kacanov iteration, which can all be interpreted as generalized gradient descent methods. Armijo backtracking isconsidered for an adaptive choice of the stepsize. The general assumptions required for our analysis cover inhomogeneous, nonlinear, and anisotropic materials, as well as permanent magnets. The main results are proven on the continuous level, but they carry over almost verbatim to various approximation schemes, including finite elements and isogeometric analysis, leading to bounds on the iteration numbers, which are independent of the particular discretization. The theoretical results are illustrated by numerical tests for a typical benchmark problem.
format Preprint
id arxiv_https___arxiv_org_abs_2403_18520
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Global convergence of iterative solvers for problems of nonlinear magnetostatics
Egger, Herbert
Engertsberger, Felix
Radu, Bogdan
Numerical Analysis
We consider the convergence of iterative solvers for problems of nonlinear magnetostatics. Using the equivalence to an underlying minimization problem, we can establish global linear convergence of a large class of methods, including the damped Newton-method, fixed-point iteration, and the Kacanov iteration, which can all be interpreted as generalized gradient descent methods. Armijo backtracking isconsidered for an adaptive choice of the stepsize. The general assumptions required for our analysis cover inhomogeneous, nonlinear, and anisotropic materials, as well as permanent magnets. The main results are proven on the continuous level, but they carry over almost verbatim to various approximation schemes, including finite elements and isogeometric analysis, leading to bounds on the iteration numbers, which are independent of the particular discretization. The theoretical results are illustrated by numerical tests for a typical benchmark problem.
title Global convergence of iterative solvers for problems of nonlinear magnetostatics
topic Numerical Analysis
url https://arxiv.org/abs/2403.18520