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作 者:Cairong Chen Dongmei Yu Deren Han Changfeng Ma
机构地区:[1]School of Mathematics and Statistics,Key Laboratory of Analytical Mathematics and Applications(Ministry of Education),Fujian Provincial Key Laboratory of Statistics and Artificial Intelligence,Fujian Normal University,Fuzhou 350117,P.R.China [2]Institute for Optimization and Decision Analytics,College of Science,Liaoning Technical University,Fuxin 123000,P.R.China [3]LMIB of the Ministry of Education,School of Mathematical Sciences,Beihang University,Beijing 100191,P.R.China
出 处:《Journal of Computational Mathematics》2025年第2期438-460,共23页计算数学(英文)
基 金:supported by the Natural Science Foundation of Fujian Province(Grant No.2021J01661);by the National Natural Science Foundation of China(Grant No.11901024);supported by the National Natural Science Foundation of China(Grant No.12201275);by the Ministry of Education in China of Humanities and Social Science Project(Grant No.21YJCZH204);by the Liaoning Provincial Department of Education(Grant No.JYTZD2023072);supported by the National Natural Science Foundation of China(Grant No.12131004);by the Ministry of Science and Technology of China(Grant No.2021YFA1003600);supported by the National Key Research and Development Program of China(Grant No.2019YFC0312003).
摘 要: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.
关 键 词:Generalized absolute value equations Smoothing function Smoothing Newton algorithm Non-monotone line search Global and local quadratic convergence
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