Two Modified QN-Algorithms for Solving Unconstrained Optimization Problems
This paper presents two modified Quasi-Newton algorithms which are designed for solving nonlinear unconstrained optimization problems. These algorithms are based on different techniques namely: Quasi-Newton conditions on quadratic and non-quadratic objective functions. Experimental results indicate...
Main Authors: | , |
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Format: | Article |
Language: | Arabic |
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Mosul University
2013-09-01
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Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
Subjects: | |
Online Access: | https://csmj.mosuljournals.com/article_163523_b744becbbf6d2f2712fc902132005a06.pdf |
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author | Abbas Al-Bayati Basim Hassan |
author_facet | Abbas Al-Bayati Basim Hassan |
author_sort | Abbas Al-Bayati |
collection | DOAJ |
description | This paper presents two modified Quasi-Newton algorithms which are designed for solving nonlinear unconstrained optimization problems. These algorithms are based on different techniques namely: Quasi-Newton conditions on quadratic and non-quadratic objective functions. Experimental results indicate that the new proposed algorithms are more efficient than the Yuan and Biggs- algorithms. |
first_indexed | 2024-12-11T17:49:34Z |
format | Article |
id | doaj.art-e081040778104afa9c917a7eaaa4bf71 |
institution | Directory Open Access Journal |
issn | 1815-4816 2311-7990 |
language | Arabic |
last_indexed | 2024-12-11T17:49:34Z |
publishDate | 2013-09-01 |
publisher | Mosul University |
record_format | Article |
series | Al-Rafidain Journal of Computer Sciences and Mathematics |
spelling | doaj.art-e081040778104afa9c917a7eaaa4bf712022-12-22T00:56:15ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902013-09-01103212810.33899/csmj.2013.163523163523Two Modified QN-Algorithms for Solving Unconstrained Optimization ProblemsAbbas Al-Bayati0Basim Hassan1College of Computer Sciences and Mathematics University of Mosul, Mosul, IraqCollege of Computer Sciences and Mathematics University of Mosul, Mosul, IraqThis paper presents two modified Quasi-Newton algorithms which are designed for solving nonlinear unconstrained optimization problems. These algorithms are based on different techniques namely: Quasi-Newton conditions on quadratic and non-quadratic objective functions. Experimental results indicate that the new proposed algorithms are more efficient than the Yuan and Biggs- algorithms.https://csmj.mosuljournals.com/article_163523_b744becbbf6d2f2712fc902132005a06.pdfquasi-newton methodquasi-newton conditionexperimental results |
spellingShingle | Abbas Al-Bayati Basim Hassan Two Modified QN-Algorithms for Solving Unconstrained Optimization Problems Al-Rafidain Journal of Computer Sciences and Mathematics quasi-newton method quasi-newton condition experimental results |
title | Two Modified QN-Algorithms for Solving Unconstrained Optimization Problems |
title_full | Two Modified QN-Algorithms for Solving Unconstrained Optimization Problems |
title_fullStr | Two Modified QN-Algorithms for Solving Unconstrained Optimization Problems |
title_full_unstemmed | Two Modified QN-Algorithms for Solving Unconstrained Optimization Problems |
title_short | Two Modified QN-Algorithms for Solving Unconstrained Optimization Problems |
title_sort | two modified qn algorithms for solving unconstrained optimization problems |
topic | quasi-newton method quasi-newton condition experimental results |
url | https://csmj.mosuljournals.com/article_163523_b744becbbf6d2f2712fc902132005a06.pdf |
work_keys_str_mv | AT abbasalbayati twomodifiedqnalgorithmsforsolvingunconstrainedoptimizationproblems AT basimhassan twomodifiedqnalgorithmsforsolvingunconstrainedoptimizationproblems |