We consider the approximation of eigenfunctions of a compact integral operator with a smooth kernel by a degenerate kernel method. By interpolating the kernel of the integral operator in both the variables, we prove that the error bounds for eigenvalues and for the distance between the spectral subspaces are of the orders $h^{2r}$ and $h^r$ respectively. By iterating the eigenfunctions we show that the error bounds for eigenfunctions are of the orders $h^{2r}$.We give the numerical results
In this paper we consider two spectral refinement schemes, elementary and double iteration, for the ...
Kernel-based methods in Numerical Analysis have the advantage of yielding optimal recovery processes...
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in parti...
We consider the approximation of eigenfunctions of a compact integral operator with a smooth kernel ...
AbstractWe consider the eigenvalue problem of a class of non-compact linear operators given as the s...
AbstractIn this paper, the eigenvalue approximation of a compact integral operator with a smooth ker...
International audienceThe Nyström and degenerate kernel methods, based on projections at Gauss point...
We propose here a new method based on projections for approximate solution of eigenvalue problems as...
We consider approximation of eigenelements of an integral operator with a smooth kernel by discrete ...
We study approximations of eigenvalue problems for integral operators associated with kernel functio...
© Published under licence by IOP Publishing Ltd.The eigenvalue problem for a compact symmetric posit...
AbstractVarious methods of approximating the eigenvalues and invariant subspaces of nonself-adjoint ...
Graduation date: 1973In this thesis we examine the approximation theory of the\ud eigenvalue problem...
We consider approximation of eigenvalues of integral operators with Green's function kernels using t...
We consider the approximation of the eigenelements of a compact integral operator defined on C[0, 1]...
In this paper we consider two spectral refinement schemes, elementary and double iteration, for the ...
Kernel-based methods in Numerical Analysis have the advantage of yielding optimal recovery processes...
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in parti...
We consider the approximation of eigenfunctions of a compact integral operator with a smooth kernel ...
AbstractWe consider the eigenvalue problem of a class of non-compact linear operators given as the s...
AbstractIn this paper, the eigenvalue approximation of a compact integral operator with a smooth ker...
International audienceThe Nyström and degenerate kernel methods, based on projections at Gauss point...
We propose here a new method based on projections for approximate solution of eigenvalue problems as...
We consider approximation of eigenelements of an integral operator with a smooth kernel by discrete ...
We study approximations of eigenvalue problems for integral operators associated with kernel functio...
© Published under licence by IOP Publishing Ltd.The eigenvalue problem for a compact symmetric posit...
AbstractVarious methods of approximating the eigenvalues and invariant subspaces of nonself-adjoint ...
Graduation date: 1973In this thesis we examine the approximation theory of the\ud eigenvalue problem...
We consider approximation of eigenvalues of integral operators with Green's function kernels using t...
We consider the approximation of the eigenelements of a compact integral operator defined on C[0, 1]...
In this paper we consider two spectral refinement schemes, elementary and double iteration, for the ...
Kernel-based methods in Numerical Analysis have the advantage of yielding optimal recovery processes...
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in parti...