A Limited Memory BFGS Method for Solving Large-Scale Symmetric Nonlinear Equations

A limited memory BFGS (L-BFGS) algorithm is presented for solving large-scale symmetric nonlinear equations, where a line search technique without derivative information is used. The global convergence of the proposed algorithm is established under some suitable conditions. Numerical results show th...

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Main Authors: Xiangrong Li, Xiaoliang Wang, Xiabin Duan
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/716019
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author Xiangrong Li
Xiaoliang Wang
Xiabin Duan
author_facet Xiangrong Li
Xiaoliang Wang
Xiabin Duan
author_sort Xiangrong Li
collection DOAJ
description A limited memory BFGS (L-BFGS) algorithm is presented for solving large-scale symmetric nonlinear equations, where a line search technique without derivative information is used. The global convergence of the proposed algorithm is established under some suitable conditions. Numerical results show that the given method is competitive to those of the normal BFGS methods.
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institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-20ea3f38b32c40c4bb18f41421e1359a2025-02-03T00:59:21ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/716019716019A Limited Memory BFGS Method for Solving Large-Scale Symmetric Nonlinear EquationsXiangrong Li0Xiaoliang Wang1Xiabin Duan2College of Mathematics and Information Science, Guangxi University, Nanning, Guangxi 530004, ChinaCollege of Mathematics and Information Science, Guangxi University, Nanning, Guangxi 530004, ChinaCollege of Mathematics and Information Science, Guangxi University, Nanning, Guangxi 530004, ChinaA limited memory BFGS (L-BFGS) algorithm is presented for solving large-scale symmetric nonlinear equations, where a line search technique without derivative information is used. The global convergence of the proposed algorithm is established under some suitable conditions. Numerical results show that the given method is competitive to those of the normal BFGS methods.http://dx.doi.org/10.1155/2014/716019
spellingShingle Xiangrong Li
Xiaoliang Wang
Xiabin Duan
A Limited Memory BFGS Method for Solving Large-Scale Symmetric Nonlinear Equations
Abstract and Applied Analysis
title A Limited Memory BFGS Method for Solving Large-Scale Symmetric Nonlinear Equations
title_full A Limited Memory BFGS Method for Solving Large-Scale Symmetric Nonlinear Equations
title_fullStr A Limited Memory BFGS Method for Solving Large-Scale Symmetric Nonlinear Equations
title_full_unstemmed A Limited Memory BFGS Method for Solving Large-Scale Symmetric Nonlinear Equations
title_short A Limited Memory BFGS Method for Solving Large-Scale Symmetric Nonlinear Equations
title_sort limited memory bfgs method for solving large scale symmetric nonlinear equations
url http://dx.doi.org/10.1155/2014/716019
work_keys_str_mv AT xiangrongli alimitedmemorybfgsmethodforsolvinglargescalesymmetricnonlinearequations
AT xiaoliangwang alimitedmemorybfgsmethodforsolvinglargescalesymmetricnonlinearequations
AT xiabinduan alimitedmemorybfgsmethodforsolvinglargescalesymmetricnonlinearequations
AT xiangrongli limitedmemorybfgsmethodforsolvinglargescalesymmetricnonlinearequations
AT xiaoliangwang limitedmemorybfgsmethodforsolvinglargescalesymmetricnonlinearequations
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