A robust framework for solving PDEs: Biorthogonal spline wavelet methods

Abstract This paper presents a novel numerical approach for solving the partial differential equations (PDEs), focusing on the Diffusion equation. The method combines a collocation approach with wavelet techniques to achieve high accuracy in approximating solutions. A detailed framework for the proposed method, explaining the discretization process at multiple collocation points and the formulation of the resulting system of linear equations is provided. An implementation is conducted to demonstrate the method’s effectiveness in capturing the complex behaviors typical of the model studied. Comparisons with analytical solutions underscore the robustness and precision of the technique, paving the way for its application in diverse fields such as physics, finance, and engineering.

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Publication Details

Journal
International Journal of Mathematics and Computer in Engineering
Published
2026-02-02
DOI
https://doi.org/10.2478/ijmce-2026-0005
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

A robust framework for solving PDEs: Biorthogonal spline wavelet methods

Alexander Trounev, Mutaz Mohammad
International Journal of Mathematics and Computer in Engineering
Fractional Differential Equations Solutions
article

A robust framework for solving PDEs: Biorthogonal spline wavelet methods

Alexander Trounev, Mutaz Mohammad
article en

Abstract

Abstract This paper presents a novel numerical approach for solving the partial differential equations (PDEs), focusing on the Diffusion equation. The method combines a collocation approach with wavelet techniques to achieve high accuracy in approximating solutions. A detailed framework for the proposed method, explaining the discretization process at multiple collocation points and the formulation of the resulting system of linear equations is provided. An implementation is conducted to demonstrate the method’s effectiveness in capturing the complex behaviors typical of the model studied. Comparisons with analytical solutions underscore the robustness and precision of the technique, paving the way for its application in diverse fields such as physics, finance, and engineering.

International Journal of Mathematics and Computer in Engineering
Kuban State Agrarian University (RU), Zayed University (AE)
Openalex Percentile: Top 71%
Fractional Differential Equations Solutions
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