A Review of Polynomial Matrix Collocation Methods in Engineering and Scientific Applications.
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| Title: | A Review of Polynomial Matrix Collocation Methods in Engineering and Scientific Applications. |
|---|---|
| Authors: | Çevik, Mehmet1 (AUTHOR) mehmet.cevik@ikcu.edu.tr, Savaşaneril, Nurcan Baykuş2 (AUTHOR) nurcan.savasaneril@deu.edu.tr, Sezer, Mehmet3 (AUTHOR) msezer54@gmail.com |
| Source: | Archives of Computational Methods in Engineering. Aug2025, Vol. 32 Issue 6, p3355-3373. 19p. |
| Subjects: | Differential equations, Computational mathematics, Orthogonal polynomials, Engineering firms, Numerical analysis, Scientific models, Dynamical systems |
| Abstract: | Ordinary, partial, and integral differential equations are indispensable tools across diverse scientific domains, enabling precise modeling of natural and engineered phenomena. The polynomial collocation method, a powerful numerical technique, has emerged as a robust approach for solving these equations efficiently. This review explores the evolution and applications of the collocation method, emphasizing its matrix-based formulation and utilization of polynomial sequences such as Chebyshev, Legendre, and Taylor series. Beginning with its inception in the late 20th century, the method has evolved to encompass a wide array of differential equation types, including integro-differential and fractional equations. Applications span mechanical vibrations, heat transfer, diffusion processes, wave propagation, environmental pollution modeling, medical uses, biomedical dynamics, and population ecology. The method's efficacy lies in its ability to transform differential equations into algebraic systems using orthogonal polynomials at chosen collocation points, facilitating accurate numerical solutions across complex systems and diverse engineering and scientific disciplines. This approach circumvents the need for mesh generation and simplifies the computational complexity associated with traditional numerical methods. This comprehensive review consolidates theoretical foundations, methodological advancements, and practical applications, highlighting the method's pivotal role in modern computational mathematics and its continued relevance in addressing complex scientific challenges. [ABSTRACT FROM AUTHOR] |
| Copyright of Archives of Computational Methods in Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 186910584 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Review of Polynomial Matrix Collocation Methods in Engineering and Scientific Applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Çevik%2C+Mehmet%22">Çevik, Mehmet</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mehmet.cevik@ikcu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Savaşaneril%2C+Nurcan+Baykuş%22">Savaşaneril, Nurcan Baykuş</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> nurcan.savasaneril@deu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Sezer%2C+Mehmet%22">Sezer, Mehmet</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> msezer54@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Archives+of+Computational+Methods+in+Engineering%22">Archives of Computational Methods in Engineering</searchLink>. Aug2025, Vol. 32 Issue 6, p3355-3373. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Differential+equations%22">Differential equations</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+mathematics%22">Computational mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Orthogonal+polynomials%22">Orthogonal polynomials</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+firms%22">Engineering firms</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+models%22">Scientific models</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamical+systems%22">Dynamical systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Ordinary, partial, and integral differential equations are indispensable tools across diverse scientific domains, enabling precise modeling of natural and engineered phenomena. The polynomial collocation method, a powerful numerical technique, has emerged as a robust approach for solving these equations efficiently. This review explores the evolution and applications of the collocation method, emphasizing its matrix-based formulation and utilization of polynomial sequences such as Chebyshev, Legendre, and Taylor series. Beginning with its inception in the late 20th century, the method has evolved to encompass a wide array of differential equation types, including integro-differential and fractional equations. Applications span mechanical vibrations, heat transfer, diffusion processes, wave propagation, environmental pollution modeling, medical uses, biomedical dynamics, and population ecology. The method's efficacy lies in its ability to transform differential equations into algebraic systems using orthogonal polynomials at chosen collocation points, facilitating accurate numerical solutions across complex systems and diverse engineering and scientific disciplines. This approach circumvents the need for mesh generation and simplifies the computational complexity associated with traditional numerical methods. This comprehensive review consolidates theoretical foundations, methodological advancements, and practical applications, highlighting the method's pivotal role in modern computational mathematics and its continued relevance in addressing complex scientific challenges. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Archives of Computational Methods in Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11831-025-10235-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 3355 Subjects: – SubjectFull: Differential equations Type: general – SubjectFull: Computational mathematics Type: general – SubjectFull: Orthogonal polynomials Type: general – SubjectFull: Engineering firms Type: general – SubjectFull: Numerical analysis Type: general – SubjectFull: Scientific models Type: general – SubjectFull: Dynamical systems Type: general Titles: – TitleFull: A Review of Polynomial Matrix Collocation Methods in Engineering and Scientific Applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Çevik, Mehmet – PersonEntity: Name: NameFull: Savaşaneril, Nurcan Baykuş – PersonEntity: Name: NameFull: Sezer, Mehmet IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 11343060 Numbering: – Type: volume Value: 32 – Type: issue Value: 6 Titles: – TitleFull: Archives of Computational Methods in Engineering Type: main |
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