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Numerical Solution of a Class of Functional-Differential Equations Using Jacobi Pseudospectral Method
Author(s) -
A. H. Bhrawy,
Mohammed Alghamdi,
Dumitru Băleanu
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/513808
Subject(s) - mathematics , gauss pseudospectral method , runge–kutta methods , gauss , chebyshev filter , pseudo spectral method , gaussian quadrature , hilbert space , chebyshev pseudospectral method , quadrature (astronomy) , spectral method , mathematical analysis , collocation (remote sensing) , collocation method , computation , legendre polynomials , differential equation , algorithm , nyström method , integral equation , orthogonal polynomials , computer science , chebyshev equation , ordinary differential equation , fourier analysis , fourier transform , engineering , classical orthogonal polynomials , quantum mechanics , machine learning , physics , electrical engineering
The shifted Jacobi-Gauss-Lobatto pseudospectral (SJGLP) method is applied to neutral functional-differential equations (NFDEs) with proportional delays. The proposed approximation is based on shifted Jacobi collocation approximation with the nodes of Gauss-Lobatto quadrature. The shifted Legendre-Gauss-Lobatto Pseudo-spectral and Chebyshev-Gauss-Lobatto Pseudo-spectral methods can be obtained as special cases of the underlying method. Moreover, the SJGLP method is extended to numerically approximate the nonlinear high-order NFDE with proportional delay. Some examples are displayed for implicit and explicit forms of NFDEs to demonstrate the computation accuracy of the proposed method. We also compare the performance of the method with variational iteration method, one-leg θ-method, continuous Runge-Kutta method, and reproducing kernel Hilbert space method

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