3 citations · 3 across the 3 of their papers we have counts for
4 papers
Smoothed-adaptive perturbed inverse iteration for elliptic eigenvalue problems
Stefano Giani, Luka Grubišić, Luca Heltai +1
We present a perturbed subspace iteration algorithm to approximate the lowermost eigenvalue cluster of an elliptic eigenvalue problem. As a prototype, we consider the Laplace eigen…
A Posteriori Error Estimates for Elliptic Eigenvalue Problems Using Auxiliary Subspace Techniques
Stefano Giani, Luka Grubisic, Harri Hakula +1
We propose an a posteriori error estimator for high-order - or -finite element discretizations of selfadjoint linear elliptic eigenvalue problems that is appropriate for est…
Stochastic collocation method for computing eigenspaces of parameter-dependent operators
Luka Grubišić, Harri Hakula, Mikael Laaksonen
We consider computing eigenspaces of an elliptic self-adjoint operator depending on a countable number of parameters in an affine fashion. The eigenspaces of interest are assumed t…
Relative convergence estimates for the spectral asymptotic in the Large Coupling Limit
Luka Grubisic
We prove optimal convergence estimates for eigenvalues and eigenvectors of a class of singular/stiff perturbed problems. Our profs are constructive in nature and use (elementary) t…