1 citations · 1 across the 3 of their papers we have counts for
3 papers
A data-driven method for parametric PDE Eigenvalue Problems using Gaussian Process with different covariance functions
Moataz Alghamdi, Fleurianne Bertrand, Daniele Boffi +1
We use a Gaussian Process Regression (GPR) strategy that was recently developed [3,16,17] to analyze different types of curves that are commonly encountered in parametric eigenvalu…
A greedy MOR method for the tracking of eigensolutions to parametric elliptic PDEs
Moataz M. Alghamdi, Daniele Boffi, Francesca Bonizzoni
In this paper we introduce an algorithm based on a sparse grid adaptive refinement, for the approximation of the eigensolutions to parametric problems arising from elliptic partial…
On the matching of eigensolutions to parametric partial differential equations
Moataz M. Alghamdi, Fleurianne Bertrand, Daniele Boffi +3
In this paper a novel numerical approximation of parametric eigenvalue problems is presented. We motivate our study with the analysis of a POD reduced order model for a simple one…