AbstractThis paper deals with the computation of the eigenvalues of non-self-adjoint Sturm–Liouville problems with parameter-dependent boundary conditions using the regularized sampling method.A few numerical examples among which singular ones will be presented to illustrate the merit of the method and comparison made with the exact eigenvalues when they are available
AbstractAlgorithms for computing Sturm–Liouville spectral density functions are developed based on s...
The main objective of this paper is to report on a recent algorithm to enclose the eigenvalues of no...
AbstractRecently we introduced a new method which we call the Extended Sampling Method to compute th...
AbstractThis paper deals with the computation of the eigenvalues of non-self-adjoint Sturm–Liouville...
AbstractIn this article we provide high order approximations to the eigenvalues of regular Sturm–Lio...
In this paper, we shall derive a spectral matrix method for the approximation of the eigenvalues of ...
In this paper, we shall derive a spectral matrix method for the approximation of the eigenvalues of ...
AbstractThis paper deals with the computation of the eigenvalues of Sturm–Liouville problems with pa...
AbstractIn this paper, we shall extend our results on the use of sampling theory in the computation ...
AbstractIn this paper, we shall extend our results on the use of sampling theory in the computation ...
Eigenvalue problems with eigenparameter appearing in the boundary conditions usually have complicate...
AbstractThe eigenvalues of singular Sturm–Liouville problems defined over the semi-infinite positive...
AbstractThe eigenvalues of Sturm–Liouville (SL) problems depend not only continuously but smoothly o...
AbstractWe consider two different approaches for the numerical calculation of eigenvalues of a singu...
AbstractIn this paper, we shall use the Shannon-Whittacker-Kotelnikov sampling theorem to approximat...
AbstractAlgorithms for computing Sturm–Liouville spectral density functions are developed based on s...
The main objective of this paper is to report on a recent algorithm to enclose the eigenvalues of no...
AbstractRecently we introduced a new method which we call the Extended Sampling Method to compute th...
AbstractThis paper deals with the computation of the eigenvalues of non-self-adjoint Sturm–Liouville...
AbstractIn this article we provide high order approximations to the eigenvalues of regular Sturm–Lio...
In this paper, we shall derive a spectral matrix method for the approximation of the eigenvalues of ...
In this paper, we shall derive a spectral matrix method for the approximation of the eigenvalues of ...
AbstractThis paper deals with the computation of the eigenvalues of Sturm–Liouville problems with pa...
AbstractIn this paper, we shall extend our results on the use of sampling theory in the computation ...
AbstractIn this paper, we shall extend our results on the use of sampling theory in the computation ...
Eigenvalue problems with eigenparameter appearing in the boundary conditions usually have complicate...
AbstractThe eigenvalues of singular Sturm–Liouville problems defined over the semi-infinite positive...
AbstractThe eigenvalues of Sturm–Liouville (SL) problems depend not only continuously but smoothly o...
AbstractWe consider two different approaches for the numerical calculation of eigenvalues of a singu...
AbstractIn this paper, we shall use the Shannon-Whittacker-Kotelnikov sampling theorem to approximat...
AbstractAlgorithms for computing Sturm–Liouville spectral density functions are developed based on s...
The main objective of this paper is to report on a recent algorithm to enclose the eigenvalues of no...
AbstractRecently we introduced a new method which we call the Extended Sampling Method to compute th...