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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Payame Noor University (PNU)</PublisherName>
				<JournalTitle>Control and Optimization in Applied Mathematics</JournalTitle>
				<Issn>2383-3130</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Numerical Solution of Optimal Heating of Temperature Field in Uncertain Environment Modelled by the use of Boundary Control</ArticleTitle>
<VernacularTitle>حل عددی گرمادهی بهینه میدان دمایی در محیط تصادفی مدل‌سازی شده با استفاده از کنترل مرزی</VernacularTitle>
			<FirstPage>23</FirstPage>
			<LastPage>38</LastPage>
			<ELocationID EIdType="pii">3395</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Nehrani</LastName>
<Affiliation>faculty of mathematical sciences, university of guilan, rasht, iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Keyanpour</LastName>
<Affiliation>Faculty of mathematical sciences, University of Guilan, Rasht, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>01</Month>
					<Day>12</Day>
				</PubDate>
			</History>
		<Abstract>‎In the present paper‎, ‎optimal heating of temperature field which is modelled as a boundary optimal control problem‎, ‎is investigated in the uncertain environments and then it is solved numerically‎. ‎In physical modelling‎, ‎a partial differential equation with stochastic input and stochastic parameter are applied as the constraint of the optimal control problem‎. ‎Controls are implemented as Dirichlet boundary conditions and representing the heating elements on the boundary of the field‎. ‎In numerical quantification‎, ‎stochastic input and parameter are approximated via Karhunen-Lo\&#039;eve expansion and inserted to the problem‎. ‎In fact‎, ‎for numerical discretization of the problem stochastic Galerkin method is applied to generalize polynomial chaos‎. ‎Numerical optimization is performed via gradient method‎. ‎The problem is fully implemented and in order to show the applicability of the method‎, ‎numerical examples are solved and numerical results are represented through figures.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Boundary optimal control‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Stochastic partial differential equation‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Stochastic quantification‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Gradient method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://mathco.journals.pnu.ac.ir/article_3395_2c4e86ec7879dc9ee757e6be0008d18b.pdf</ArchiveCopySource>
</Article>
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