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<Article>
<Journal>
				<PublisherName>Shahid Bahonar University of Kerman</PublisherName>
				<JournalTitle>Journal of Mahani Mathematical Research</JournalTitle>
				<Issn>2251-7952</Issn>
				<Volume>3</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>03</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>SOME NEW RESULTS ON REMOTEST POINTS IN NORMED SPACES</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>37</FirstPage>
			<LastPage>50</LastPage>
			<ELocationID EIdType="pii">1538</ELocationID>
			
<ELocationID EIdType="doi">10.22103/jmmrc.2014.1538</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>H.</FirstName>
					<LastName>Mazaheri</LastName>
<Affiliation>Yazd University</Affiliation>

</Author>
<Author>
					<FirstName>M.</FirstName>
					<LastName>ZARENEJHAD</LastName>
<Affiliation>Yazd University</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>09</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, using the best proximity theorems for an extension&lt;br /&gt;of Brosowski&#039;s theorem. We obtain other results on farthest points. Finally, we&lt;br /&gt;dene the concept of e- farthest points. We shall prove interesting relationship&lt;br /&gt;between the -best approximation and the e-farthest points in normed linear&lt;br /&gt;spaces (X; ||.||). If z in W is a e-farthest point from an x in X, then z is also a&lt;br /&gt;-best approximation in W.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Remotest points</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Approximate remotest points</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Best
proximity points</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fixed points</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Approximate best proximity points</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmmrc.uk.ac.ir/article_1538_37f33f585899363e2177041f30808b6b.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Shahid Bahonar University of Kerman</PublisherName>
				<JournalTitle>Journal of Mahani Mathematical Research</JournalTitle>
				<Issn>2251-7952</Issn>
				<Volume>3</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>03</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Gauss-Sidel and Successive Over Relaxation Iterative Methods for Solving System of Fuzzy Sylvester Equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>51</FirstPage>
			<LastPage>60</LastPage>
			<ELocationID EIdType="pii">1541</ELocationID>
			
<ELocationID EIdType="doi">10.22103/jmmrc.2014.1541</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Salary Pour Sharif Abad</LastName>
<Affiliation>Department of Mathematics, Shahid Bahonar University of Kerman,</Affiliation>

</Author>
<Author>
					<FirstName>Azim</FirstName>
					<LastName>Rivaz</LastName>
<Affiliation>Department of Mathematics, Shahid Bahonar University of Kerman</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we present Gauss-Sidel and successive over relaxation (SOR) iterative methods for finding the approximate solution system of fuzzy Sylvester equations (SFSE), AX + XB = C, where A and B are two m*m crisp matrices, C is an m*m fuzzy matrix and X is an m*m unknown matrix. Finally, the proposed iterative methods are illustrated by solving one example.</Abstract>
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			<Param Name="value">KeyWords:Gauss-Sidel method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">successive over relaxation method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">System of fuzzy Sylvester equations</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmmrc.uk.ac.ir/article_1541_68311cce43f448d8ffbababf811f8842.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Shahid Bahonar University of Kerman</PublisherName>
				<JournalTitle>Journal of Mahani Mathematical Research</JournalTitle>
				<Issn>2251-7952</Issn>
				<Volume>3</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>03</Month>
					<Day>15</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Stability analysis of fractional-order nonlinear Systems via Lyapunov method</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>61</FirstPage>
			<LastPage>73</LastPage>
			<ELocationID EIdType="pii">3966</ELocationID>
			
<ELocationID EIdType="doi">10.22103/jmmrc.2014.1561</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Bayati</LastName>
<Affiliation>DEPARTMENT OF APPLIED MATHEMATICS, SHAHREKORD UNIVERSITY, P. O. BOX 115, SHAHREKORD, IRAN.</Affiliation>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Khoshsiar</LastName>
<Affiliation>DEPARTMENT OF APPLIED MATHEMATICS, SHAHREKORD UNIVERSITY, P. O. BOX 115, SHAHREKORD, IRAN.</Affiliation>

</Author>
<Author>
					<FirstName>Javad</FirstName>
					<LastName>Alidousti</LastName>
<Affiliation>DEPARTMENT OF APPLIED MATHEMATICS, SHAHREKORD UNIVERSITY, P. O. BOX 115, SHAHREKORD, IRAN.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>09</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we study stability of fractional-order nonlinear dynamic systems by means of Lyapunov method. To examine the obtained results, we employe the developed techniques on test examples.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Stability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Riemann-Liouville derivative</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Caputo derivative</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lyapunov method</Param>
			</Object>
		</ObjectList>
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