Numerical Study of Multi-Term Time-Fractional Sub-Diffusion Equation Using Hybrid L1 Scheme with Quintic Hermite Splines

Anomalous diffusion of particles has been described by the time-fractional reaction–diffusion equation. A hybrid formulation of numerical technique is proposed to solve the time-fractional-order reaction–diffusion (FRD) equation numerically. The technique comprises the semi-discretization of the time variable using an L1 finite-difference scheme and space discretization using the quintic Hermite spline collocation method. The hybrid technique reduces the problem to an iterative scheme of an algebraic system of equations. The stability analysis of the proposed numerical scheme and the optimal error bounds for the approximate solution are also studied. A comparative study of the obtained results and an error analysis of approximation show the efficiency, accuracy, and effectiveness of the technique.

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Publication Details

Journal
Mathematical and Computational Applications
Published
2024-11-02
DOI
https://doi.org/10.3390/mca29060100
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Numerical Study of Multi-Term Time-Fractional Sub-Diffusion Equation Using Hybrid L1 Scheme with Quintic Hermite Splines

Shelly Arora, Saroj Kumar Sahani, Sharandeep Singh, Priyanka Priyanka
Mathematical and Computational Applications
Fractional Differential Equations Solutions
article

Numerical Study of Multi-Term Time-Fractional Sub-Diffusion Equation Using Hybrid L1 Scheme with Quintic Hermite Splines

Shelly Arora, Saroj Kumar Sahani, Sharandeep Singh, Priyanka Priyanka
article en

Abstract

Anomalous diffusion of particles has been described by the time-fractional reaction–diffusion equation. A hybrid formulation of numerical technique is proposed to solve the time-fractional-order reaction–diffusion (FRD) equation numerically. The technique comprises the semi-discretization of the time variable using an L1 finite-difference scheme and space discretization using the quintic Hermite spline collocation method. The hybrid technique reduces the problem to an iterative scheme of an algebraic system of equations. The stability analysis of the proposed numerical scheme and the optimal error bounds for the approximate solution are also studied. A comparative study of the obtained results and an error analysis of approximation show the efficiency, accuracy, and effectiveness of the technique.

Mathematical and Computational ApplicationsVol. 29(6)
University of Alberta (CA), Central University of Haryana (IN), Punjabi University (IN), South Asian University (IN)
Openalex Percentile: Top 79%
Fractional Differential Equations Solutions
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