Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Vassilis Kalantzis"'
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Vassilis Kalantzis, Lior Horesh
Publikováno v:
Numerical Linear Algebra with Applications. 30
Publikováno v:
SIAM Journal on Scientific Computing. 43:S791-S815
This paper describes a set of rational filtering algorithms to compute a few eigenvalues (and associated eigenvectors) of non-Hermitian matrix pencils. Our interest lies in computing eigenvalues lo...
Autor:
Vassilis Kalantzis
Publikováno v:
SIAM Journal on Scientific Computing. 42:C410-C435
This paper proposes a parallel domain decomposition Rayleigh--Ritz projection scheme to compute a selected number of eigenvalues (and, optionally, associated eigenvectors) of large and sparse symme...
Autor:
Vassilis Kalantzis
Publikováno v:
ETNA - Electronic Transactions on Numerical Analysis. 52:132-153
This paper proposes a numerical algorithm based on spectral Schur complements to compute a few eigenvalues and the associated eigenvectors of symmetric matrix pencils. The proposed scheme follows an algebraic domain decomposition viewpoint and transf
Publikováno v:
ICASSP
In recent years, a variety of randomized constructions of sketching matrices have been devised, that have been used in fast algorithms for numerical linear algebra problems, such as least squares regression, low-rank approximation, and the approximat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::160d3ff35d8ba0b82850e5ce1f204053
Publikováno v:
Knowledge and Information Systems. 58:59-81
We introduce EigenRec; a versatile and efficient Latent-Factor framework for Top-N Recommendations that includes the well-known PureSVD algorithm as a special case. EigenRec builds a low dimensional model of an inter-item proximity matrix that combin
Autor:
A. Cristiano I. Malossi, Vassilis Kalantzis, Yousef Saad, Costas Bekas, Alessandro Curioni, Efstratios Gallopoulos
Publikováno v:
Parallel Computing. 74:136-153
We describe Parallel-Projection Block Conjugate Gradient ( pp-bcg ), a distributed iterative solver for the solution of dense and symmetric positive definite linear systems with multiple right-hand sides. In particular, we focus on linear systems app
Publikováno v:
SIAM Journal on Scientific Computing. 40:A2234-A2252
Nonsymmetric and highly indefinite linear systems can be quite difficult to solve by iterative methods. This paper combines ideas from the multilevel Schur low rank preconditioner developed by Y. X...