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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>14</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A fast and cheap approach for strengthening Lagrangian bound for the generalized Celis-Dennis-Tapia subproblem</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>595</FirstPage>
			<LastPage>608</LastPage>
			<ELocationID EIdType="pii">9264</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jmm.2025.31942.2884</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Temadher Alassiry</FirstName>
					<LastName>Almaadeed</LastName>
<Affiliation>Qatar University-College of Arts and Sciences-Dept Mathematics and Statistics, P.O. Box 2713
Qatar University, Doha- Qatar</Affiliation>

</Author>
<Author>
					<FirstName>Abdelouahed</FirstName>
					<LastName>Hamdi</LastName>
<Affiliation>Qatar University-College of Arts and Sciences-Dept Mathematics and Statistics, P.O. Box 2713,  Qatar University, Doha- Qatar</Affiliation>

</Author>
<Author>
					<FirstName>Akram</FirstName>
					<LastName>Taati</LastName>
<Affiliation>Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>10</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we consider the generalized Celis-Dennis-Tapia problem&lt;br /&gt;which is the problem of minimizing a nonconvex quadratic function subject to&lt;br /&gt;two quadratic inequality constraints, one of which being convex. When there is&lt;br /&gt;a positive duality gap, by exploiting an equivalent form of the dual Lagrangian&lt;br /&gt;problem, we propose to improve the dual bound by adding one or two linear cuts&lt;br /&gt;to the Lagrangian relaxation. The present work is motivated by and generalizes&lt;br /&gt;the results of [14] for the problem with two strictly convex quadratic constraints.&lt;br /&gt;Our main contribution is to show that one can include the feasible region in a con-&lt;br /&gt;vex set and then follow the approach in [14] to construct the linear cuts based on&lt;br /&gt;supporting hyperplanes of the convex set. Numerical experiments are conducted&lt;br /&gt;to assess the quality of the proposed bounds.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">quadratically constrained quadratic programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Celis-Dennis-Tapia problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">dual Lagrangian bound</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Supporting hyperplane</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmm.guilan.ac.ir/article_9264_3bb0c7a429b19885a3efa780276fd8df.pdf</ArchiveCopySource>
</Article>
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