Numerical Solution of Time Fractional Cable Equation via the Sinc-Bernoulli Collocation Method

An important equation usually used in modeling neuronal dynamics is cable equation. In this work, a numerical method for the fractional cable equation which involves two Riemann-Liouville fractional derivatives is proposed. Our computational technique is based on collocation idea where a combination...

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发表在:Journal of Applied and Computational Mechanics
Main Authors: Nasrin Moshtaghi, Abbas Saadatmandi
格式: 文件
语言:英语
出版: Shahid Chamran University of Ahvaz 2021-10-01
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在线阅读:https://jacm.scu.ac.ir/article_15318_34b03fdbad5545b18d79d846f7cb6fe1.pdf
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author Nasrin Moshtaghi
Abbas Saadatmandi
author_facet Nasrin Moshtaghi
Abbas Saadatmandi
author_sort Nasrin Moshtaghi
collection DOAJ
container_title Journal of Applied and Computational Mechanics
description An important equation usually used in modeling neuronal dynamics is cable equation. In this work, a numerical method for the fractional cable equation which involves two Riemann-Liouville fractional derivatives is proposed. Our computational technique is based on collocation idea where a combination of Bernoulli polynomials and Sinc functions are used to approximate the solution to this problem. The constructed approximation by our method convert the fractional cable equation into a set of algebraic equations. Also, we provide two numerical examples to confirm the accuracy and effectiveness of the present method.
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spelling doaj-art-e2d38e7b4f6f410888773de3178bca0d2025-08-19T21:57:21ZengShahid Chamran University of AhvazJournal of Applied and Computational Mechanics2383-45362021-10-01741916192410.22055/jacm.2020.31923.194015318Numerical Solution of Time Fractional Cable Equation via the Sinc-Bernoulli Collocation MethodNasrin Moshtaghi0Abbas Saadatmandi1Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Kashan, Kashan 87317-53153, IranDepartment of Applied Mathematics, Faculty of Mathematical Sciences, University of Kashan, Kashan 87317-53153, IranAn important equation usually used in modeling neuronal dynamics is cable equation. In this work, a numerical method for the fractional cable equation which involves two Riemann-Liouville fractional derivatives is proposed. Our computational technique is based on collocation idea where a combination of Bernoulli polynomials and Sinc functions are used to approximate the solution to this problem. The constructed approximation by our method convert the fractional cable equation into a set of algebraic equations. Also, we provide two numerical examples to confirm the accuracy and effectiveness of the present method.https://jacm.scu.ac.ir/article_15318_34b03fdbad5545b18d79d846f7cb6fe1.pdffractional cable equationbernoulli polynomialsriemann-liouville fractional derivativesinc functionnumerical solution
spellingShingle Nasrin Moshtaghi
Abbas Saadatmandi
Numerical Solution of Time Fractional Cable Equation via the Sinc-Bernoulli Collocation Method
fractional cable equation
bernoulli polynomials
riemann-liouville fractional derivative
sinc function
numerical solution
title Numerical Solution of Time Fractional Cable Equation via the Sinc-Bernoulli Collocation Method
title_full Numerical Solution of Time Fractional Cable Equation via the Sinc-Bernoulli Collocation Method
title_fullStr Numerical Solution of Time Fractional Cable Equation via the Sinc-Bernoulli Collocation Method
title_full_unstemmed Numerical Solution of Time Fractional Cable Equation via the Sinc-Bernoulli Collocation Method
title_short Numerical Solution of Time Fractional Cable Equation via the Sinc-Bernoulli Collocation Method
title_sort numerical solution of time fractional cable equation via the sinc bernoulli collocation method
topic fractional cable equation
bernoulli polynomials
riemann-liouville fractional derivative
sinc function
numerical solution
url https://jacm.scu.ac.ir/article_15318_34b03fdbad5545b18d79d846f7cb6fe1.pdf
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