Superlinear Convergence of a Semismooth Newton Method for Some Optimization Problems with Applications to Control Theory

In this paper, we formulate a semismooth Newton method for an abstract optimization problem and prove its superlinear convergence by assuming that the no-gap second order sufficient optimality condition and the strict complementarity condition are fulfilled at the local minimizer. Many control problems fit this abstract formulation. In particular, we apply this abstract result to distributed control problems of a semilinear elliptic equation, to boundary bilinear control problems associated with a semilinear elliptic equation, and to distributed control of a semilinear parabolic equation.

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Publication Details

Journal
SIAM Journal on Optimization
Published
2024-11-19
DOI
https://doi.org/10.1137/24m1644286
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Superlinear Convergence of a Semismooth Newton Method for Some Optimization Problems with Applications to Control Theory

Eduardo Casas
SIAM Journal on Optimization
Iterative Methods for Nonlinear Equations
article

Superlinear Convergence of a Semismooth Newton Method for Some Optimization Problems with Applications to Control Theory

Eduardo Casas
article en

Abstract

In this paper, we formulate a semismooth Newton method for an abstract optimization problem and prove its superlinear convergence by assuming that the no-gap second order sufficient optimality condition and the strict complementarity condition are fulfilled at the local minimizer. Many control problems fit this abstract formulation. In particular, we apply this abstract result to distributed control problems of a semilinear elliptic equation, to boundary bilinear control problems associated with a semilinear elliptic equation, and to distributed control of a semilinear parabolic equation.

SIAM Journal on OptimizationVol. 34(4)
Universidad de Cantabria (ES)
Universidad de Cantabria, Agencia Estatal de Investigación
Openalex Percentile: Top 68%
Iterative Methods for Nonlinear Equations
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