Investigated Non-Conic Model for Constrained Optimization

Investigated Non-Conic Model for Constrained Optimization

In this search,  we develop the nonlinear constrained optimization by investigation a new region of solution depending on extended conic model to non-conic model by using conjugate gradient method. The new method is too effective when compared with other established algorithms to solve standard cons...

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Bibliographic Details
Main Authors: Eman Al-Haj Saeed, Huda Ahmed
Format: Article
Language:Arabic
Published: Mosul University 2008-12-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
nonlinear constrained optimization
non-conic model
conjugate gradient method
Online Access:https://csmj.mosuljournals.com/article_163980_adeba2b5866ddd07c6dd18d5bb9547c5.pdf
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spelling doaj-c31bc51b19e44dc8af53dfb03ca536772020-11-25T04:00:53ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics 1815-48162311-79902008-12-015217318210.33899/csmj.2008.163980163980Investigated Non-Conic Model for Constrained OptimizationEman Al-Haj Saeed0Huda Ahmed1College of Computer Sciences and Mathematics University of Mosul, IraqCollege of Computer Sciences and Mathematics University of Mosul, IraqIn this search,  we develop the nonlinear constrained optimization by investigation a new region of solution depending on extended conic model to non-conic model by using conjugate gradient method. The new method is too effective when compared with other established algorithms to solve standard constrained optimization problems it performance from evaluations were the number of function (NOF),number of iteration (NOI) and  the number of constrained (NOC).https://csmj.mosuljournals.com/article_163980_adeba2b5866ddd07c6dd18d5bb9547c5.pdfnonlinear constrained optimizationnon-conic modelconjugate gradient method
collection DOAJ
language Arabic
format Article
sources DOAJ
author Eman Al-Haj Saeed
Huda Ahmed
spellingShingle Eman Al-Haj Saeed
Huda Ahmed
Investigated Non-Conic Model for Constrained Optimization
Al-Rafidain Journal of Computer Sciences and Mathematics
nonlinear constrained optimization
non-conic model
conjugate gradient method
author_facet Eman Al-Haj Saeed
Huda Ahmed
author_sort Eman Al-Haj Saeed
title Investigated Non-Conic Model for Constrained Optimization
title_short Investigated Non-Conic Model for Constrained Optimization
title_full Investigated Non-Conic Model for Constrained Optimization
title_fullStr Investigated Non-Conic Model for Constrained Optimization
title_full_unstemmed Investigated Non-Conic Model for Constrained Optimization
title_sort investigated non-conic model for constrained optimization
publisher Mosul University
series Al-Rafidain Journal of Computer Sciences and Mathematics
issn 1815-4816
2311-7990
publishDate 2008-12-01
description In this search,  we develop the nonlinear constrained optimization by investigation a new region of solution depending on extended conic model to non-conic model by using conjugate gradient method. The new method is too effective when compared with other established algorithms to solve standard constrained optimization problems it performance from evaluations were the number of function (NOF),number of iteration (NOI) and  the number of constrained (NOC).
topic nonlinear constrained optimization
non-conic model
conjugate gradient method
url https://csmj.mosuljournals.com/article_163980_adeba2b5866ddd07c6dd18d5bb9547c5.pdf
work_keys_str_mv AT emanalhajsaeed investigatednonconicmodelforconstrainedoptimization
AT hudaahmed investigatednonconicmodelforconstrainedoptimization
_version_ 1724448630004252672

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