A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations

Fuente: arXiv
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Main Authors: Chen, Cairong, Yu, Dongmei, Han, Deren, Ma, Changfeng
Format: Preprint
Published: 2021
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author Chen, Cairong
Yu, Dongmei
Han, Deren
Ma, Changfeng
author_facet Chen, Cairong
Yu, Dongmei
Han, Deren
Ma, Changfeng
contents The system of generalized absolute value equations (GAVE) has attracted more and more attention in the optimization community. In this paper, by introducing a smoothing function, we develop a smoothing Newton algorithm with non-monotone line search to solve the GAVE. We show that the non-monotone algorithm is globally and locally quadratically convergent under a weaker assumption than those given in most existing algorithms for solving the GAVE. Numerical results are given to demonstrate the viability and efficiency of the approach.
format Preprint
id arxiv_https___arxiv_org_abs_2111_13808
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations
Chen, Cairong
Yu, Dongmei
Han, Deren
Ma, Changfeng
Optimization and Control
Numerical Analysis
The system of generalized absolute value equations (GAVE) has attracted more and more attention in the optimization community. In this paper, by introducing a smoothing function, we develop a smoothing Newton algorithm with non-monotone line search to solve the GAVE. We show that the non-monotone algorithm is globally and locally quadratically convergent under a weaker assumption than those given in most existing algorithms for solving the GAVE. Numerical results are given to demonstrate the viability and efficiency of the approach.
title A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations
topic Optimization and Control
Numerical Analysis
url https://arxiv.org/abs/2111.13808