A Class of Inexact Secant Algorithms with Line Search Filter Method for Nonlinear Programming

We propose a class of inexact secant methods in association with the line search filter technique for solving nonlinear equality constrained optimization. Compared with other filter methods that combine the line search method applied in most large-scale optimization problems, the inexact line search...

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Autores principales: Zhujun Wang, Li Cai
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/6c156defa8e04ebe97b437c4f1bb5c81
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spelling oai:doaj.org-article:6c156defa8e04ebe97b437c4f1bb5c812021-11-22T01:11:06ZA Class of Inexact Secant Algorithms with Line Search Filter Method for Nonlinear Programming1563-514710.1155/2021/6253424https://doaj.org/article/6c156defa8e04ebe97b437c4f1bb5c812021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6253424https://doaj.org/toc/1563-5147We propose a class of inexact secant methods in association with the line search filter technique for solving nonlinear equality constrained optimization. Compared with other filter methods that combine the line search method applied in most large-scale optimization problems, the inexact line search filter algorithm is more flexible and realizable. In this paper, we focus on the analysis of the local superlinear convergence rate of the algorithms, while their global convergence properties can be obtained by making an analogy with our previous work. These methods have been implemented in a Matlab code, and detailed numerical results indicate that the proposed algorithms are efficient for 43 problems from the CUTEr test set.Zhujun WangLi CaiHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
spellingShingle Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
Zhujun Wang
Li Cai
A Class of Inexact Secant Algorithms with Line Search Filter Method for Nonlinear Programming
description We propose a class of inexact secant methods in association with the line search filter technique for solving nonlinear equality constrained optimization. Compared with other filter methods that combine the line search method applied in most large-scale optimization problems, the inexact line search filter algorithm is more flexible and realizable. In this paper, we focus on the analysis of the local superlinear convergence rate of the algorithms, while their global convergence properties can be obtained by making an analogy with our previous work. These methods have been implemented in a Matlab code, and detailed numerical results indicate that the proposed algorithms are efficient for 43 problems from the CUTEr test set.
format article
author Zhujun Wang
Li Cai
author_facet Zhujun Wang
Li Cai
author_sort Zhujun Wang
title A Class of Inexact Secant Algorithms with Line Search Filter Method for Nonlinear Programming
title_short A Class of Inexact Secant Algorithms with Line Search Filter Method for Nonlinear Programming
title_full A Class of Inexact Secant Algorithms with Line Search Filter Method for Nonlinear Programming
title_fullStr A Class of Inexact Secant Algorithms with Line Search Filter Method for Nonlinear Programming
title_full_unstemmed A Class of Inexact Secant Algorithms with Line Search Filter Method for Nonlinear Programming
title_sort class of inexact secant algorithms with line search filter method for nonlinear programming
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/6c156defa8e04ebe97b437c4f1bb5c81
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