In this paper, we present a comparative study of Sinc-Galerkin method and differential transform method to solve Sturm-Liouville eigenvalue problem. As an application, a comparison between the two methods for various celebrated Sturm-Liouville problems are analyzed for their eigenvalues and solutions. The study outlines the significant features of the two methods. The results show that these methods are very efficient, and can be applied to a large class of problems. The comparison of the methods shows that although the numerical results of these methods are the same, differential transform method is much easier, and more efficient than the Sinc-Galerkin method
AbstractThe polynomial-based differential quadrature (PDQ) and the Fourier expansion-based different...
In this paper, we shall derive a spectral matrix method for the approximation of the eigenvalues of ...
The numerical solution of the Sturm-Liouville problem can be achieved using shooting to obtain an ei...
The aim of this paper is to compute the eigenvalues for a class of linear Sturm-Liouville problems (...
We give a survey over the efforts in the direction of solving the Sturm-Liouville eigenvalue problem...
Abstract Recently, some authors have used the sinc-Gaussian sampling technique to approximate eigenv...
Eigenvalue problems with eigenparameter appearing in the boundary conditions usually have complicate...
The polynomial-based differential quadrature (PDQ) and the Fourier expansion-based differential quad...
Theoretical results on the solution of inverse Sturm-Liouville problems generally consider only idea...
This study investigates the eigenvalues of regular Sturm-Liouville problem. A quintic spline functio...
This paper deals with computing eigenvalues of periodic Sturm-Liouville (SL) problem by direct integ...
In this paper, we shall derive a spectral matrix method for the approximation of the eigenvalues of ...
Certain finite difference analogues are proposed for a class of Sturm-Liouville eigenvalue problems....
In this paper, we describe how to approximate numerically the eigenvalues of a Sturm-Liouville probl...
In recent years several high quality Sturm-Liouville software packages have been written (e.g., SLED...
AbstractThe polynomial-based differential quadrature (PDQ) and the Fourier expansion-based different...
In this paper, we shall derive a spectral matrix method for the approximation of the eigenvalues of ...
The numerical solution of the Sturm-Liouville problem can be achieved using shooting to obtain an ei...
The aim of this paper is to compute the eigenvalues for a class of linear Sturm-Liouville problems (...
We give a survey over the efforts in the direction of solving the Sturm-Liouville eigenvalue problem...
Abstract Recently, some authors have used the sinc-Gaussian sampling technique to approximate eigenv...
Eigenvalue problems with eigenparameter appearing in the boundary conditions usually have complicate...
The polynomial-based differential quadrature (PDQ) and the Fourier expansion-based differential quad...
Theoretical results on the solution of inverse Sturm-Liouville problems generally consider only idea...
This study investigates the eigenvalues of regular Sturm-Liouville problem. A quintic spline functio...
This paper deals with computing eigenvalues of periodic Sturm-Liouville (SL) problem by direct integ...
In this paper, we shall derive a spectral matrix method for the approximation of the eigenvalues of ...
Certain finite difference analogues are proposed for a class of Sturm-Liouville eigenvalue problems....
In this paper, we describe how to approximate numerically the eigenvalues of a Sturm-Liouville probl...
In recent years several high quality Sturm-Liouville software packages have been written (e.g., SLED...
AbstractThe polynomial-based differential quadrature (PDQ) and the Fourier expansion-based different...
In this paper, we shall derive a spectral matrix method for the approximation of the eigenvalues of ...
The numerical solution of the Sturm-Liouville problem can be achieved using shooting to obtain an ei...