Steering exact penalty DCA for nonsmooth DC optimization problems with equality and inequality constraints

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1. Verfasser: Dolgopolik, M. V.
Format: Preprint
Veröffentlicht: 2021
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author Dolgopolik, M. V.
author_facet Dolgopolik, M. V.
contents We propose and study a version of the DCA (Difference-of-Convex functions Algorithm) using the $\ell_1$ penalty function for solving nonsmooth DC optimization problems with nonsmooth DC equality and inequality constraints. The method employs an adaptive penalty updating strategy to improve its performance. This strategy is based on the so-called steering exact penalty methodology and relies on solving some auxiliary convex subproblems to determine a suitable value of the penalty parameter. We present a detailed convergence analysis of the method and illustrate its practical performance by applying the method to two nonsmooth discrete optimal control problem.
format Preprint
id arxiv_https___arxiv_org_abs_2107_01433
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Steering exact penalty DCA for nonsmooth DC optimization problems with equality and inequality constraints
Dolgopolik, M. V.
Optimization and Control
90C26, 90C30, 90C56, 65K05
We propose and study a version of the DCA (Difference-of-Convex functions Algorithm) using the $\ell_1$ penalty function for solving nonsmooth DC optimization problems with nonsmooth DC equality and inequality constraints. The method employs an adaptive penalty updating strategy to improve its performance. This strategy is based on the so-called steering exact penalty methodology and relies on solving some auxiliary convex subproblems to determine a suitable value of the penalty parameter. We present a detailed convergence analysis of the method and illustrate its practical performance by applying the method to two nonsmooth discrete optimal control problem.
title Steering exact penalty DCA for nonsmooth DC optimization problems with equality and inequality constraints
topic Optimization and Control
90C26, 90C30, 90C56, 65K05
url https://arxiv.org/abs/2107.01433