Title of article :
Numerical Solution of Time Fractional Cable Equation via the Sinc-Bernoulli Collocation Method
Author/Authors :
Moshtaghi ، Nasrin Department of Applied Mathematics - Faculty of Mathematical Sciences - University of Kashan , Saadatmandi ، Abbas Department of Applied Mathematics - Faculty of Mathematical Sciences - University of Kashan
Abstract :
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 RiemannLiouville 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.
Keywords :
Fractional cable equation , Bernoulli polynomials , Riemann , Liouville fractional derivative , Sinc function , Numerical solution
Journal title :
Journal of Applied and Computational Mechanics
Journal title :
Journal of Applied and Computational Mechanics