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<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>12</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A hybrid CG algorithm for nonlinear unconstrained optimization with application in image restoration</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>301</FirstPage>
			<LastPage>317</LastPage>
			<ELocationID EIdType="pii">7567</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jmm.2024.26151.2317</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Choubeila</FirstName>
					<LastName>Souli</LastName>
<Affiliation>Laboratory of Fundamental and Numerical Mathematics (LMFN), University Ferhat Abbas Setif 1, Algeria</Affiliation>

</Author>
<Author>
					<FirstName>Raouf</FirstName>
					<LastName>Ziadi</LastName>
<Affiliation>Laboratory of Fundamental and Numerical Mathematics (LMFN), University Ferhat Abbas Setif 1, Algeria</Affiliation>

</Author>
<Author>
					<FirstName>Abdelatif</FirstName>
					<LastName>Bencherif-Madani</LastName>
<Affiliation>Laboratory of Fundamental and Numerical Mathematics (LMFN), University Ferhat Abbas Setif 1, Algeria</Affiliation>

</Author>
<Author>
					<FirstName>Hisham Mohammed</FirstName>
					<LastName>Khudhur</LastName>
<Affiliation>Department of Mathematics, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>11</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>This paper presents a new hybrid conjugate gradient method for solving  nonlinear unconstrained optimization problems; it is based on a combination of $RMIL$  (Rivaie-Mustafa-Ismail-Leong)  and $hSM$  (hybrid Sulaiman- Mohammed) methods. The proposed algorithm enjoys the sufficient descent condition without depending on any line search; moreover, it is globally convergent under the usual and strong Wolfe line search assumptions.  The performance of the algorithm is demonstrated through numerical experiments on a set of 100 test functions from [1] and four image restoration problems with two noise levels. The numerical comparisons with four existing methods show that the proposed method is promising and effective.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Unconstrained optimization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Hybrid conjugate gradient</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Global convergence</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Image restoration</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmm.guilan.ac.ir/article_7567_a6b0819e4c4f3837f68f8ebd7e94dc47.pdf</ArchiveCopySource>
</Article>
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