Title
Least-Squares Padé approximation of parametric and stochastic Helmholtz maps
Abstract
The present work deals with rational model order reduction methods based on the single-point Least-Square (LS) Padé approximation techniques introduced in Bonizzoni et al. (ESAIM Math. Model. Numer. Anal., 52(4), 1261–1284 2018, Math. Comput. 89, 1229–1257 2020). Algorithmical aspects concerning the construction of rational LS-Padé approximants are described. In particular, we show that the computation of the Padé denominator can be carried out efficiently by solving an eigenvalue-eigenvector problem involving a Gramian matrix. The LS-Padé techniques are employed to approximate the frequency response map associated with two parametric time-harmonic acoustic wave problems, namely a transmission-reflection problem and a scattering problem. In both cases, we establish the meromorphy of the frequency response map. The Helmholtz equation with stochastic wavenumber is also considered. In particular, for Lipschitz functionals of the solution and their corresponding probability measures, we establish weak convergence of the measure derived from the LS-Padé approximant to the true one. 2D numerical tests are performed, which confirm the effectiveness of the approximation methods.
Year
DOI
Venue
2020
10.1007/s10444-020-09749-3
Advances in Computational Mathematics
Keywords
DocType
Volume
Hilbert space-valued meromorphic maps, Padé approximants, Convergence of Padé approximants, Parametric Helmholtz equation, PDE with random coefficients, 30D30, 41A21, 41A25, 35A17, 35J05, 35R60, 65D15
Journal
46
Issue
ISSN
Citations 
3
1019-7168
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Francesca Bonizzoni161.86
Fabio Nobile233629.63
Ilaria Perugia3534134.99
Davide Pradovera400.68