A Globalized Inexact Semismooth Newton Method for Nonsmooth Fixed-point Equations involving Variational Inequalities

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Hauptverfasser: Alphonse, Amal, Christof, Constantin, Hintermüller, Michael, Papadopoulos, Ioannis P. A.
Format: Preprint
Veröffentlicht: 2024
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author Alphonse, Amal
Christof, Constantin
Hintermüller, Michael
Papadopoulos, Ioannis P. A.
author_facet Alphonse, Amal
Christof, Constantin
Hintermüller, Michael
Papadopoulos, Ioannis P. A.
contents We develop a semismooth Newton framework for the numerical solution of fixed-point equations that are posed in Banach spaces. The framework is motivated by applications in the field of obstacle-type quasi-variational inequalities and implicit obstacle problems. It is discussed in a general functional analytic setting and allows for inexact function evaluations and Newton steps. Moreover, if a certain contraction assumption holds, we show that it is possible to globalize the algorithm by means of the Banach fixed-point theorem and to ensure $q$-superlinear convergence to the problem solution for arbitrary starting values. By means of a localization technique, our Newton method can also be used to determine solutions of fixed-point equations that are only locally contractive and not uniquely solvable. We apply our algorithm to a quasi-variational inequality which arises in thermoforming and which not only involves the obstacle problem as a source of nonsmoothness but also a semilinear PDE containing a nondifferentiable Nemytskii operator. Our analysis is accompanied by numerical experiments that illustrate the mesh-independence and $q$-superlinear convergence of the developed solution algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2409_19637
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Globalized Inexact Semismooth Newton Method for Nonsmooth Fixed-point Equations involving Variational Inequalities
Alphonse, Amal
Christof, Constantin
Hintermüller, Michael
Papadopoulos, Ioannis P. A.
Numerical Analysis
Analysis of PDEs
35J86, 47J20, 49J40, 49J52, 49M15
We develop a semismooth Newton framework for the numerical solution of fixed-point equations that are posed in Banach spaces. The framework is motivated by applications in the field of obstacle-type quasi-variational inequalities and implicit obstacle problems. It is discussed in a general functional analytic setting and allows for inexact function evaluations and Newton steps. Moreover, if a certain contraction assumption holds, we show that it is possible to globalize the algorithm by means of the Banach fixed-point theorem and to ensure $q$-superlinear convergence to the problem solution for arbitrary starting values. By means of a localization technique, our Newton method can also be used to determine solutions of fixed-point equations that are only locally contractive and not uniquely solvable. We apply our algorithm to a quasi-variational inequality which arises in thermoforming and which not only involves the obstacle problem as a source of nonsmoothness but also a semilinear PDE containing a nondifferentiable Nemytskii operator. Our analysis is accompanied by numerical experiments that illustrate the mesh-independence and $q$-superlinear convergence of the developed solution algorithm.
title A Globalized Inexact Semismooth Newton Method for Nonsmooth Fixed-point Equations involving Variational Inequalities
topic Numerical Analysis
Analysis of PDEs
35J86, 47J20, 49J40, 49J52, 49M15
url https://arxiv.org/abs/2409.19637