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<Article>
<Journal>
				<PublisherName>Payame Noor University (PNU)</PublisherName>
				<JournalTitle>Control and Optimization in Applied Mathematics</JournalTitle>
				<Issn>2383-3130</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>05</Month>
					<Day>28</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Comparative Accuracy Analysis of Spectral and Collocation Methods for the Fractional Bagley–Torvik Equation: A Systematic Numerical Study</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">12983</ELocationID>
			
<ELocationID EIdType="doi">10.30473/coam.2026.77807.1408</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Muayyad Mahmood</FirstName>
					<LastName>Khalil</LastName>
<Affiliation>Department of Mathematics, College of Education for Pure Sciences, Tikrit University, Tikrit, Iraq</Affiliation>
<Identifier Source="ORCID">0009-0005-3482-3034</Identifier>

</Author>
<Author>
					<FirstName>Najim Abdullah</FirstName>
					<LastName>Ibrahim</LastName>
<Affiliation>Department of Mathematics, College of Education for Pure Sciences, Tikrit University, Tikrit, Iraq</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>22</Day>
				</PubDate>
			</History>
		<Abstract>The Bagley--Torvik equation, which governs the motion of a rigid plate immersed in a Newtonian fluid with viscoelastic damping, represents one of the canonical benchmark problems in fractional calculus. This paper presents a systematic comparative numerical analysis of four established methods for solving this equation: the Fractional-Order Hybrid Jacobi Functions method (FOHJF), the Polynomial Least Squares Method (PLSM), the Vieta-Lucas Spectral Method (VLSM), and the Cubic Spline Collocation Method (CSCM). Three benchmark test problems with qualitatively distinct forcing functions---polynomial, oscillatory (cosine), and exponential---and varying initial conditions are used to evaluate absolute approximation errors at resolution levels &lt;em&gt;N&lt;/em&gt; = 8, 16, 32, and 64. Detailed error tables and graphical convergence analyses are provided. The results consistently demonstrate that VLSM achieves the highest accuracy, with maximum absolute errors below 2.3×10⁻⁸ at &lt;em&gt;N&lt;/em&gt; = 32, followed by FOHJF. PLSM and CSCM offer simpler implementation at the cost of reduced accuracy. Practical recommendations are provided for selecting a method based on the required precision level and the type of forcing function. The study identifies key limitations and directions for future work, including extension to nonlinear formulations, variable-order derivatives, and adaptive hybrid approaches.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Bagley--Torvik equation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Caputo fractional derivative</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Spectral methods</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Collocation methods</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Vieta-Lucas polynomials</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fractional-order Jacobi functions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Error analysis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://mathco.journals.pnu.ac.ir/article_12983_a5dd299d95ff0fbc9b66534d41ab565f.pdf</ArchiveCopySource>
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