Convergence analysis of the semismooth Newton method for sparse control problems governed by semilinear elliptic equations

Fuente: arXiv
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Main Authors: Eduardo, Casas, Mariano, Mateos
Format: Preprint
Published: 2023
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_version_ 1866916807790559232
author Eduardo, Casas
Mariano, Mateos
author_facet Eduardo, Casas
Mariano, Mateos
contents We show that a second order sufficient condition for local optimality, along with a strict complementarity condition, is enough to get the superlinear convergence of the semismooth Newton method for an optimal control problem governed by a semilinear elliptic equation. The objective functional may include a sparsity promoting term and we allow for box control constraints.
format Preprint
id arxiv_https___arxiv_org_abs_2309_05393
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Convergence analysis of the semismooth Newton method for sparse control problems governed by semilinear elliptic equations
Eduardo, Casas
Mariano, Mateos
Optimization and Control
35J61, 49K20, 49M15, 49M05
We show that a second order sufficient condition for local optimality, along with a strict complementarity condition, is enough to get the superlinear convergence of the semismooth Newton method for an optimal control problem governed by a semilinear elliptic equation. The objective functional may include a sparsity promoting term and we allow for box control constraints.
title Convergence analysis of the semismooth Newton method for sparse control problems governed by semilinear elliptic equations
topic Optimization and Control
35J61, 49K20, 49M15, 49M05
url https://arxiv.org/abs/2309.05393