Zobrazeno 1 - 10
of 407
pro vyhledávání: '"Andersen, Martin S."'
Autor:
Bock, Andreas A., Andersen, Martin S.
We present a general framework for preconditioning Hermitian positive definite linear systems based on the Bregman log determinant divergence. This divergence provides a measure of discrepancy between a preconditioner and a target matrix. Given an ap
Externí odkaz:
http://arxiv.org/abs/2312.06417
This paper introduces a novel direct approach to system identification of dynamic networks with missing data based on maximum likelihood estimation. Dynamic networks generally present a singular probability density function, which poses a challenge i
Externí odkaz:
http://arxiv.org/abs/2311.00369
We introduce AdaSub, a stochastic optimization algorithm that computes a search direction based on second-order information in a low-dimensional subspace that is defined adaptively based on available current and past information. Compared to first-or
Externí odkaz:
http://arxiv.org/abs/2310.20060
Autor:
Bock, Andreas, Andersen, Martin S.
We study a preconditioner for a Hermitian positive definite linear system, which is obtained as the solution of a matrix nearness problem based on the Bregman log determinant divergence. The preconditioner is of the form of a Hermitian positive defin
Externí odkaz:
http://arxiv.org/abs/2304.12162
Autor:
Bangsgaard, Katrine O, Burca, Genoveva, Ametova, Evelina, Andersen, Martin S, Jørgensen, Jakob S
Spectral computed tomography has received considerable interest in recent years since spectral measurements contain much richer information about the object of interest. In spectral computed tomography, we are interested in the energy channel-wise re
Externí odkaz:
http://arxiv.org/abs/2203.01637
Computed tomography is a method for synthesizing volumetric or cross-sectional images of an object from a collection of projections. Popular reconstruction methods for computed tomography are based on idealized models and assumptions that may not be
Externí odkaz:
http://arxiv.org/abs/2203.01045
Publikováno v:
In Environmental Modelling and Software July 2024 178
Autor:
Shanafield, Margaret, Blanchette, Melanie, Daly, Edoardo, Wells, Naomi, Burrows, Ryan M., Korbel, Kathryn, Rau, Gabriel C., Bourke, Sarah, Wakelin-King, Gresley, Holland, Aleicia, Ralph, Timothy, McGrath, Gavan, Robson, Belinda, Fowler, Keirnan, Andersen, Martin S., Yu, Songyan, Jones, Christopher S., Waltham, Nathan, Banks, Eddie W., Flatley, Alissa, Leigh, Catherine, Maxwell, Sally, Siebers, Andre, Bond, Nick, Beesley, Leah, Hose, Grant, Iles, Jordan, Cartwright, Ian, Reid, Michael, de Castro Tayer, Thiaggo, Duvert, Clément
Publikováno v:
In Journal of Hydrology May 2024 634
Spectral Computed Tomography (CT) is an emerging technology that enables to estimate the concentration of basis materials within a scanned object by exploiting different photon energy spectra. In this work, we aim at efficiently solving a model-based
Externí odkaz:
http://arxiv.org/abs/2103.13909
Publikováno v:
In Journal of Hydrology: Regional Studies February 2024 51