A computational approach for solving time fractional differential equation via spline functions

A computational approach based on finite difference scheme and a redefined extended B-spline functions is presented to study the approximate solution of time fractional advection diffusion equation. The Caputo time-fractional derivative and redefined extended B-spline functions have been used for th...

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Main Authors: Nauman Khalid, Muhammad Abbas, Muhammad Kashif Iqbal, Jagdev Singh, Ahmad Izani Md. Ismail
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682030257X
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spelling doaj-eb8f1159b85149b0a720f718d59766752021-06-02T12:56:15ZengElsevierAlexandria Engineering Journal1110-01682020-10-0159530613078A computational approach for solving time fractional differential equation via spline functionsNauman Khalid0Muhammad Abbas1Muhammad Kashif Iqbal2Jagdev Singh3Ahmad Izani Md. Ismail4Department of Mathematics, National College of Business Administration & Economics, Lahore, PakistanDepartment of Mathematics, University of Sargodha, Sargodha, PakistanDepartment of Mathematics, Government College University, Faisalabad, Pakistan; Corresponding authors.Department of Mathematics, JECRC University, Jaipur, IndiaSchool of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia; Corresponding authors.A computational approach based on finite difference scheme and a redefined extended B-spline functions is presented to study the approximate solution of time fractional advection diffusion equation. The Caputo time-fractional derivative and redefined extended B-spline functions have been used for the time and spatial discretization, respectively. The numerical scheme is shown to be O(h2+Δt2-α) accurate and unconditionally stable. The proposed method is tested through some numerical experiments involving homogeneous/non-homogeneous boundary conditions which concluded that it is more accurate than existing methods. The simulation results show superior agreement with the exact solution as compared to existing methods.http://www.sciencedirect.com/science/article/pii/S111001682030257XRedefined extended cubic B-spline functionsCaputo’s time fractional derivativeAdvection–diffusion equationStability and convergenceFinite difference formulation
collection DOAJ
language English
format Article
sources DOAJ
author Nauman Khalid
Muhammad Abbas
Muhammad Kashif Iqbal
Jagdev Singh
Ahmad Izani Md. Ismail
spellingShingle Nauman Khalid
Muhammad Abbas
Muhammad Kashif Iqbal
Jagdev Singh
Ahmad Izani Md. Ismail
A computational approach for solving time fractional differential equation via spline functions
Alexandria Engineering Journal
Redefined extended cubic B-spline functions
Caputo’s time fractional derivative
Advection–diffusion equation
Stability and convergence
Finite difference formulation
author_facet Nauman Khalid
Muhammad Abbas
Muhammad Kashif Iqbal
Jagdev Singh
Ahmad Izani Md. Ismail
author_sort Nauman Khalid
title A computational approach for solving time fractional differential equation via spline functions
title_short A computational approach for solving time fractional differential equation via spline functions
title_full A computational approach for solving time fractional differential equation via spline functions
title_fullStr A computational approach for solving time fractional differential equation via spline functions
title_full_unstemmed A computational approach for solving time fractional differential equation via spline functions
title_sort computational approach for solving time fractional differential equation via spline functions
publisher Elsevier
series Alexandria Engineering Journal
issn 1110-0168
publishDate 2020-10-01
description A computational approach based on finite difference scheme and a redefined extended B-spline functions is presented to study the approximate solution of time fractional advection diffusion equation. The Caputo time-fractional derivative and redefined extended B-spline functions have been used for the time and spatial discretization, respectively. The numerical scheme is shown to be O(h2+Δt2-α) accurate and unconditionally stable. The proposed method is tested through some numerical experiments involving homogeneous/non-homogeneous boundary conditions which concluded that it is more accurate than existing methods. The simulation results show superior agreement with the exact solution as compared to existing methods.
topic Redefined extended cubic B-spline functions
Caputo’s time fractional derivative
Advection–diffusion equation
Stability and convergence
Finite difference formulation
url http://www.sciencedirect.com/science/article/pii/S111001682030257X
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