We study approximations of eigenvalue problems for integral operators associated with kernel functions of exponential type. We show convergence rate |λk − λk,h| ≤ Ckh 2 in the case of lowest order approximation for both Galerkin and Nyström methods, where h is the mesh size, λk and λk,h are the exact and approximate kth largest eigenvalues, respectively. We prove that the two methods are numerically equivalent in the sense that |λk,h(G)-λk,h(N)| ≤ Ch2, where λk,h(G) and λk,h(N) denote the kth largest eigenvalues computed by Galerkin and Nyström methods, respectively, and C is a eigenvalue independent constant. The theoretical results are accompanied by a series of numerical experiment
33 pages, 5 figuresInternational audienceIn this article, we present two new greedy algorithms for t...
We consider the approximation of the eigenelements of a compact integral operator defined on C[0, 1]...
We deduce decay rates for eigenvalues of integral operators generated by power series-like kernels o...
We consider approximation of eigenelements of an integral operator with a smooth kernel by discrete ...
We consider approximation of eigenvalues of integral operators with Green's function kernels using t...
International audienceThe Nyström and degenerate kernel methods, based on projections at Gauss point...
A hierarchical matrix is an efficient data-sparse representation of a matrix, especially useful for ...
We consider the approximation of eigenfunctions of a compact integral operator with a smooth kernel ...
AbstractIn this paper, the eigenvalue approximation of a compact integral operator with a smooth ker...
In this paper, we present two greedy algorithms for the computation of the lowest eigenval...
Kernel-based methods in Numerical Analysis have the advantage of yielding optimal recovery processes...
International audienceIn this paper, we present two greedy algorithms for the computation of the low...
Graduation date: 1973In this thesis we examine the approximation theory of the\ud eigenvalue problem...
Regular convergence, together with other types of convergence, have been studied since the 1970s for...
We propose here a new method based on projections for approximate solution of eigenvalue problems as...
33 pages, 5 figuresInternational audienceIn this article, we present two new greedy algorithms for t...
We consider the approximation of the eigenelements of a compact integral operator defined on C[0, 1]...
We deduce decay rates for eigenvalues of integral operators generated by power series-like kernels o...
We consider approximation of eigenelements of an integral operator with a smooth kernel by discrete ...
We consider approximation of eigenvalues of integral operators with Green's function kernels using t...
International audienceThe Nyström and degenerate kernel methods, based on projections at Gauss point...
A hierarchical matrix is an efficient data-sparse representation of a matrix, especially useful for ...
We consider the approximation of eigenfunctions of a compact integral operator with a smooth kernel ...
AbstractIn this paper, the eigenvalue approximation of a compact integral operator with a smooth ker...
In this paper, we present two greedy algorithms for the computation of the lowest eigenval...
Kernel-based methods in Numerical Analysis have the advantage of yielding optimal recovery processes...
International audienceIn this paper, we present two greedy algorithms for the computation of the low...
Graduation date: 1973In this thesis we examine the approximation theory of the\ud eigenvalue problem...
Regular convergence, together with other types of convergence, have been studied since the 1970s for...
We propose here a new method based on projections for approximate solution of eigenvalue problems as...
33 pages, 5 figuresInternational audienceIn this article, we present two new greedy algorithms for t...
We consider the approximation of the eigenelements of a compact integral operator defined on C[0, 1]...
We deduce decay rates for eigenvalues of integral operators generated by power series-like kernels o...