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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>2</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A numerical algorithm for solving a class of matrix equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>41</FirstPage>
			<LastPage>54</LastPage>
			<ELocationID EIdType="pii">101</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Huamin</FirstName>
					<LastName>Zhang</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Hongcai</FirstName>
					<LastName>Yin</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Rui</FirstName>
					<LastName>Ding</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we present a numerical algorithm for solving matrix equations $(A \otimes B)X = F$  by extending the well-known Gaussian elimination for $Ax = b$. The proposed algorithm has a high computational efficiency. Two numerical examples are provided to show the effectiveness of the proposed algorithm.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">aussian elimination</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Kronecker product</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">matrix equation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmm.guilan.ac.ir/article_101_05bf065d7f2c614aff5cbc6474f5028e.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
