Innovative numerical method for solving heat conduction using subdivision collocation

Abstract This study introduces a Subdivision Collocation Algorithm (SCA) to numerically solve the Heat Conduction Equation (HCEq), taking into account both initial and boundary conditions. The algorithm reformulates the differential equation into a system of algebraic equations by using subdivision scheme basis functions to approximate spatial derivatives, while finite difference techniques are applied to discretize the time derivatives. The numerical solution of this system is then obtained through computational methods. The effectiveness of the algorithm is confirmed through both theoretical analysis and numerical testing. Additionally, the obtained solutions are presented both numerically and graphically, and compared with existing methods, showing that the proposed algorithm provides higher accuracy than conventional approaches.

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Publication Details

Journal
Journal of Applied Mathematics and Computing
Published
2025-03-07
DOI
https://doi.org/10.1007/s12190-025-02429-9
Citations
1
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.33
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article

Innovative numerical method for solving heat conduction using subdivision collocation

Safia Malik, Syeda Tehmina Ejaz, Mustafa İnç, Shahram Rezapour
1 citations
Journal of Applied Mathematics and Computing
Advanced Numerical Analysis Techniques
1.33
article

Innovative numerical method for solving heat conduction using subdivision collocation

Safia Malik, Syeda Tehmina Ejaz, Mustafa İnç, Shahram Rezapour
article en
1 citations

Abstract

Abstract This study introduces a Subdivision Collocation Algorithm (SCA) to numerically solve the Heat Conduction Equation (HCEq), taking into account both initial and boundary conditions. The algorithm reformulates the differential equation into a system of algebraic equations by using subdivision scheme basis functions to approximate spatial derivatives, while finite difference techniques are applied to discretize the time derivatives. The numerical solution of this system is then obtained through computational methods. The effectiveness of the algorithm is confirmed through both theoretical analysis and numerical testing. Additionally, the obtained solutions are presented both numerically and graphically, and compared with existing methods, showing that the proposed algorithm provides higher accuracy than conventional approaches.

Journal of Applied Mathematics and ComputingVol. 71(4)
Islamia University of Bahawalpur (PK), China Medical University (TW), Government Sadiq College Women University (PK), China Medical University Hospital (TW)
Openalex Percentile: Top 26%
Advanced Numerical Analysis Techniques
1.33
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