B-Spline Wavelet Scheme for Multi-Term Time–Space Variable-Order Fractional Nonlinear Diffusion-Wave Equation

This paper presents a novel B-spline wavelet-based scheme for solving multi-term time–space variable-order fractional nonlinear diffusion-wave equations. By combining semi-orthogonal B-spline wavelets with a collocation approach and a quasilinearization technique, we transform the original problem into a system of algebraic equations. To enhance the computational efficiency, we derive the operational matrix formulation of the proposed scheme. We provide a rigorous convergence analysis of the method and demonstrate its accuracy and effectiveness through numerical experiments. The results confirm the robustness and computational advantages of our approach for solving this class of fractional differential equations.

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Publication Details

Journal
Fractal and Fractional
Published
2025-10-31
DOI
https://doi.org/10.3390/fractalfract9110707
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

B-Spline Wavelet Scheme for Multi-Term Time–Space Variable-Order Fractional Nonlinear Diffusion-Wave Equation

Jinwei Fang, Xinming Zhang, Zhe Yu
Fractal and Fractional
Fractional Differential Equations Solutions
article

B-Spline Wavelet Scheme for Multi-Term Time–Space Variable-Order Fractional Nonlinear Diffusion-Wave Equation

Jinwei Fang, Xinming Zhang, Zhe Yu
article en

Abstract

This paper presents a novel B-spline wavelet-based scheme for solving multi-term time–space variable-order fractional nonlinear diffusion-wave equations. By combining semi-orthogonal B-spline wavelets with a collocation approach and a quasilinearization technique, we transform the original problem into a system of algebraic equations. To enhance the computational efficiency, we derive the operational matrix formulation of the proposed scheme. We provide a rigorous convergence analysis of the method and demonstrate its accuracy and effectiveness through numerical experiments. The results confirm the robustness and computational advantages of our approach for solving this class of fractional differential equations.

Fractal and FractionalVol. 9(11)
Guangdong University of Technology (CN), Harbin Institute of Technology (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 64%
Fractional Differential Equations Solutions
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