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<Article>
<Journal>
				<PublisherName>Damghan University Press</PublisherName>
				<JournalTitle>Analytical and Numerical Solutions for Nonlinear Equations</JournalTitle>
				<Issn>3060-785X</Issn>
				<Volume>8</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2025</Year>
					<Month>01</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Metric Dimension of $C_n(1, 2, 3)$ for $ n \equiv 0 \pmod{6}$</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>212</FirstPage>
			<LastPage>217</LastPage>
			<ELocationID EIdType="pii">460</ELocationID>
			
<ELocationID EIdType="doi">10.22128/ansne.2025.898.1121</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mostafa </FirstName>
					<LastName>Mohagheghi Nejhad</LastName>
<Affiliation>Adib Mazandaran Institute of Higher Education, Sari, Iran.</Affiliation>
<Identifier Source="ORCID">0000-0001-8529-0673</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2024</Year>
					<Month>10</Month>
					<Day>29</Day>
				</PubDate>
			</History>
		<Abstract>The &lt;em&gt;metric dimension&lt;/em&gt; of a connected graph $G$ is the minimum number of vertices in a subset $B$ of $G$ such that all other vertices are uniquely determined by their distances to the vertices in $B$‎. ‎In this case‎, ‎$B$ is called a \textit{metric basis} for $G$ and written $dim(G)=\Vert B\Vert$‎. ‎We have solved an open problem which shows dimension of circulant graph‎, ‎$dim(C_n(1,2,3))=4‎, ‎n \equiv 0 \pmod{6}$‎. ‎To prove this result‎, ‎we employ a combination of combinatorial techniques‎, ‎including distance-based analysis and structural properties of circulant graphs‎, ‎to carefully analyze the relationship between the graphs structure and its metric dimension‎. ‎The solution not only answers a previously unresolved question in graph theory but also provides valuable insights into the metric dimensions of more general classes of graphs‎, ‎particularly in network theory‎, ‎where understanding the metric dimension is essential for applications in sensor networks‎, ‎graph-based data storage‎, ‎and network routing‎. ‎This work lays the groundwork for future research on the metric dimensions of other families of graphs and has potential applications in optimizing communication and sensor placement in large-scale networks.</Abstract>
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			<Param Name="value">Metric dimension</Param>
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			<Object Type="keyword">
			<Param Name="value">resolving set</Param>
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			<Object Type="keyword">
			<Param Name="value">metric basis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">circulant graph</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://ansne.du.ac.ir/article_460_f3003618255d98c2e428aa9a80dfa0c8.pdf</ArchiveCopySource>
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