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...

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Bibliographic Details
Main Authors: Abbas Al-Bayati, Basim Hassan
Format: Article
Language:Arabic
Published: Mosul University 2013-09-01
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.
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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