Bilinear control of semilinear elliptic PDEs: convergence of a semismooth Newton method

Abstract In this paper, we carry out the analysis of the semismooth Newton method for control-constrained bilinear control problems of semilinear elliptic PDEs. We prove existence, uniqueness and regularity for the solution of the state equation, as well as differentiability properties of the control to state mapping. Then, first and second order optimality conditions are obtained. Finally, we prove the superlinear convergence of the semismooth Newton method to local solutions satisfying no-gap second order sufficient optimality conditions as well as a strict complementarity condition.

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Publication Details

Journal
Numerische Mathematik
Published
2024-12-19
DOI
https://doi.org/10.1007/s00211-024-01448-1
Citations
3
Primary Topic
Advanced Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
2.20

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article

Bilinear control of semilinear elliptic PDEs: convergence of a semismooth Newton method

Konstantinos Chrysafinos, Mariano Mateos, Eduardo Casas
3 citations
Numerische Mathematik
Advanced Optimization Algorithms Research
2.20
article

Bilinear control of semilinear elliptic PDEs: convergence of a semismooth Newton method

Konstantinos Chrysafinos, Mariano Mateos, Eduardo Casas
article en
3 citations

Abstract

Abstract In this paper, we carry out the analysis of the semismooth Newton method for control-constrained bilinear control problems of semilinear elliptic PDEs. We prove existence, uniqueness and regularity for the solution of the state equation, as well as differentiability properties of the control to state mapping. Then, first and second order optimality conditions are obtained. Finally, we prove the superlinear convergence of the semismooth Newton method to local solutions satisfying no-gap second order sufficient optimality conditions as well as a strict complementarity condition.

Numerische MathematikVol. 157(1)
Universidad de Cantabria (ES), Universidad de Oviedo (ES), National Technical University of Athens (GR), FORTH Institute of Applied and Computational Mathematics (GR)
Universidad de Oviedo, Hellenic Foundation for Research and Innovation, Agencia Estatal de Investigación
Openalex Percentile: Top 11%
Advanced Optimization Algorithms Research
2.20
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Bilinear control of semilinear elliptic PDEs: convergence of a semismooth Newton method — Konstantinos Chrysafinos, Mariano Mateos, et al. · Numerische Mathematik (2024) | TGRS Research Map | TGRS