Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gianluca Ceruti"'
Publikováno v:
SIAM Journal on Scientific Computing. 45:A1-A24
The dynamical low-rank approximation (DLRA) is used to treat high-dimensional problems that arise in such diverse fields as kinetic transport and uncertainty quantification. Even though it is well known that certain spatial and temporal discretizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::647a5039d8b74e4ecb021e02aad94f97
https://doi.org/10.1137/21m1446289
https://doi.org/10.1137/21m1446289
Autor:
Gianluca Ceruti, Christian Lubich
We propose and analyse a numerical integrator that computes a low-rank approximation to large time-dependent matrices that are either given explicitly via their increments or are the unknown solution to a matrix differential equation. Furthermore, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b683fe7ad7c8324b605c3fc04fb08f65
http://arxiv.org/abs/2010.02022
http://arxiv.org/abs/2010.02022
Dynamical low-rank approximation by tree tensor networks is studied for the data-sparse approximation to large time-dependent data tensors and unknown solutions of tensor differential equations. A time integration method for tree tensor networks of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c183d3c43d540516a80a530b0fccee2
http://arxiv.org/abs/2002.11392
http://arxiv.org/abs/2002.11392
Autor:
Gianluca Ceruti, Christian Lubich
A numerical integrator is presented that computes a symmetric or skew-symmetric low-rank approximation to large symmetric or skew-symmetric time-dependent matrices that are either given explicitly or are the unknown solution to a matrix differential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca51f082e39bf1481ceb372ec2d26c05
http://arxiv.org/abs/1906.01369
http://arxiv.org/abs/1906.01369