TY - JOUR
T1 - Barycentric–Legendre Interpolation Method for Solving Two-Dimensional Fractional Cable Equation in Neuronal Dynamics
AU - Rezazadeh, A.
AU - Avazzadeh, Z.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature India Private Limited.
PY - 2022/4
Y1 - 2022/4
N2 - This paper presents a spectral collocation method with the goal of estimating the solution of fractional cable equation in neuronal dynamics. The proposed method consists of expanding the unknown solution as the elements of the Barycentric basis and the shifted Legendre polynomials. The spatial derivative and time derivative are discretized using the Barycentric interpolation method and the Legendre polynomials, respectively. The differentiation matrix of the Barycentric method and the operational matrix of the Legendre polynomials are introduced. These matrices and the collocation points are applied to reduce the problem into a linear algebraic system. Eventually, some experimental examples are given to illustrate the efficiency and applicability of the method.
AB - This paper presents a spectral collocation method with the goal of estimating the solution of fractional cable equation in neuronal dynamics. The proposed method consists of expanding the unknown solution as the elements of the Barycentric basis and the shifted Legendre polynomials. The spatial derivative and time derivative are discretized using the Barycentric interpolation method and the Legendre polynomials, respectively. The differentiation matrix of the Barycentric method and the operational matrix of the Legendre polynomials are introduced. These matrices and the collocation points are applied to reduce the problem into a linear algebraic system. Eventually, some experimental examples are given to illustrate the efficiency and applicability of the method.
KW - Barycenteric interpolation method
KW - Caputo fractional derivative
KW - Fractional cable equation
KW - Operational matrix
KW - Riemann–Liouville fractional derivative
KW - Shifted Legendre polynomials
UR - http://www.scopus.com/inward/record.url?scp=85126801868&partnerID=8YFLogxK
U2 - 10.1007/s40819-022-01273-w
DO - 10.1007/s40819-022-01273-w
M3 - Article
AN - SCOPUS:85126801868
SN - 2349-5103
VL - 8
JO - International Journal of Applied and Computational Mathematics
JF - International Journal of Applied and Computational Mathematics
IS - 2
M1 - 80
ER -