New Parameter of CG-Method for Unconstrained Optimization
In this paper, we derived a new parameter by equating the modified QN direction which is suggested by [7] and the standard CG method which satisfied the sufficient descent condition and the global convergence under some assumptions. The numerical experiment of the new algorithm perform better than ...
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| Format: | Article |
| Language: | English |
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Mosul University
2019-06-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
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| Online Access: | https://csmj.mosuljournals.com/article_163500_8ccfea4aa8eeab193a74eb25ec121b56.pdf |
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| _version_ | 1850145233586618368 |
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| author | Hamsa Chilmeran Satia Al-Taie Enaam Saeed |
| author_facet | Hamsa Chilmeran Satia Al-Taie Enaam Saeed |
| author_sort | Hamsa Chilmeran |
| collection | DOAJ |
| description | In this paper, we derived a new parameter by equating the modified QN direction which is suggested by [7] and the standard CG method which satisfied the sufficient descent condition and the global convergence under some assumptions. The numerical experiment of the new algorithm perform better than previous standard algorithm depending on the number of calling the function (NOF) and number of iterations (NOI).<br /> |
| format | Article |
| id | doaj-art-d2332e63f3f846fdb4fbe9409f291514 |
| institution | OA Journals |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2019-06-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-d2332e63f3f846fdb4fbe9409f2915142025-08-20T02:28:08ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902019-06-01131223110.33899/csmj.2020.163500163500New Parameter of CG-Method for Unconstrained OptimizationHamsa Chilmeran0Satia Al-Taie1Enaam Saeed2Department of Mathematics College of Computer Science and MathematicsComputer CenterDepartment of Mathematics College of Computer Science and MathematicsIn this paper, we derived a new parameter by equating the modified QN direction which is suggested by [7] and the standard CG method which satisfied the sufficient descent condition and the global convergence under some assumptions. The numerical experiment of the new algorithm perform better than previous standard algorithm depending on the number of calling the function (NOF) and number of iterations (NOI).<br />https://csmj.mosuljournals.com/article_163500_8ccfea4aa8eeab193a74eb25ec121b56.pdfcg-methodqn-directionglobal convergence |
| spellingShingle | Hamsa Chilmeran Satia Al-Taie Enaam Saeed New Parameter of CG-Method for Unconstrained Optimization Al-Rafidain Journal of Computer Sciences and Mathematics cg-method qn-direction global convergence |
| title | New Parameter of CG-Method for Unconstrained Optimization |
| title_full | New Parameter of CG-Method for Unconstrained Optimization |
| title_fullStr | New Parameter of CG-Method for Unconstrained Optimization |
| title_full_unstemmed | New Parameter of CG-Method for Unconstrained Optimization |
| title_short | New Parameter of CG-Method for Unconstrained Optimization |
| title_sort | new parameter of cg method for unconstrained optimization |
| topic | cg-method qn-direction global convergence |
| url | https://csmj.mosuljournals.com/article_163500_8ccfea4aa8eeab193a74eb25ec121b56.pdf |
| work_keys_str_mv | AT hamsachilmeran newparameterofcgmethodforunconstrainedoptimization AT satiaaltaie newparameterofcgmethodforunconstrainedoptimization AT enaamsaeed newparameterofcgmethodforunconstrainedoptimization |