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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Semnan University</PublisherName>
				<JournalTitle>International Journal of Nonlinear Analysis and Applications</JournalTitle>
				<Issn>2008-6822</Issn>
				<Volume>12</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Numerical approach for reconstructing an unknown source function in inverse parabolic problem</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>555</FirstPage>
			<LastPage>565</LastPage>
			<ELocationID EIdType="pii">4838</ELocationID>
			
<ELocationID EIdType="doi">10.22075/ijnaa.2021.4838</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Javad</FirstName>
					<LastName>Damirchi</LastName>
<Affiliation>Department of Mathematics, Semnan University, Semnan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Janmohammadi</LastName>
<Affiliation>Department of Mathematics,  Semnan University, Semnan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Masoud</FirstName>
					<LastName>Hasanpour</LastName>
<Affiliation>Department of Mathematics,  Semnan University, Semnan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Memarbashi</LastName>
<Affiliation>Department of Mathematics,  Semnan University, Semnan, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>‎The inverse problem considered in this paper is devoted to reconstruction of the unknown source term in parabolic equation from additional information which is given by measurements at final time‎. ‎The cost functional is introduced and existence of the minimizer for this functional is established‎. ‎The numerical algorithm to solve the inverse problem is based on the Ritz-Galerkin method with shifted Legendre polynomials as basis functions‎. ‎Finally‎, ‎some numerical results are presented to demonstrate the accuracy and efficiency of the proposed method for test example‎.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">‎Inverse source Problem‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Cost Functional‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Ill-Posed Problem‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Regularization Method‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Ritz-Galerkin Method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijnaa.semnan.ac.ir/article_4838_2f9f68db09e1136e34bc21f572da10a6.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
