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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>8</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2020</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Solving Stiff Systems by using Symbolic - Numerical Method</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>282</FirstPage>
			<LastPage>293</LastPage>
			<ELocationID EIdType="pii">10485</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2020.28834.1401</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Malihe Baigom</FirstName>
					<LastName>Mirkarim</LastName>
<Affiliation>School of Mathematics and Computer Science, Damghan University, Damghan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Abdolali</FirstName>
					<LastName>Basiri</LastName>
<Affiliation>School of Mathematics and Computer Science,
Damghan University, Damghan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Sajjad</FirstName>
					<LastName>Rahmany</LastName>
<Affiliation>School of Mathematics and Computer Science,
Damghan University, Damghan, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>08</Month>
					<Day>13</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, an efficient symbolic-numerical procedure based on the power series method is presented for solving a system of differential equations. The basic idea is to substitute power series into the differential equations and to find a polynomial system of coefficients, where a powerful symbolic computation technique (i.e., Grobner basis) is used to solve the system. In fact, the proposed method is an excellent bridge between symbolic and numeric computation and specially, enables us to find the solution of linear and non-linear stiff systems. Numerical experiments were performed to justify our new approach.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Stiff initial-value problems</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">symbolic-numeric method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Grobner basis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Faugere's algorithm</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_10485_c06f17502000e4a83923c3c6055dc3a4.pdf</ArchiveCopySource>
</Article>
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