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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>11</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Computational Performance Optimization in Solving Singular Boundary Value Problems: A Comparative Study of Finite Difference and Collocation Methods</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>201</FirstPage>
			<LastPage>219</LastPage>
			<ELocationID EIdType="pii">12800</ELocationID>
			
<ELocationID EIdType="doi">10.30473/coam.2026.76880.1383</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Saad Qasim</FirstName>
					<LastName>Abbas</LastName>
<Affiliation>Department of Medical Instruments Engineering Techniques, University of Bilad Alrafidain, Iraq</Affiliation>

</Author>
<Author>
					<FirstName>Wasan Saad</FirstName>
					<LastName>Ahmed</LastName>
<Affiliation>Computer Science Department, University of Diyala, Iraq</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>19</Day>
				</PubDate>
			</History>
		<Abstract>This paper presents a systematic comparative study of two widely used numerical solvers --- HOFiD_bvp (high-order finite difference scheme) and bvp4c (collocation-based) --- for solving singular second-order ordinary differential equations (ODEs) with first-kind (regular) boundary singularities. Four representative benchmark problems drawn from fluid dynamics, materials science, and radially symmetric diffusion models are used to evaluate solver performance across key metrics: maximum residual, maximum error, mesh point count, and ODE/BC function call counts. Results show that HOFiD_bvp consistently achieves lower residuals and errors with fewer function evaluations, making it computationally more efficient. Conversely, bvp4c demonstrates superior robustness for nonlinear singular problems and offers better adaptive mesh refinement capabilities. These findings provide practical guidance for selecting the appropriate numerical technique in applied science and engineering contexts, with implications for optimization of computational simulation workflows.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Singular boundary value problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Computational performance optimization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Finite difference method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Collocation method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Adaptive mesh refinement</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://mathco.journals.pnu.ac.ir/article_12800_b93a6b280ee5f46dce6265d90f0d3b22.pdf</ArchiveCopySource>
</Article>
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