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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2021
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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) |
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Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 |
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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 |
work_keys_str_mv |
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