Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Fabio Marcuzzi"'
Publikováno v:
Results in Applied Mathematics, Vol 20, Iss , Pp 100402- (2023)
We present a general observation on how to replace changes of material properties in limited regions within a domain with fictitious forcing terms in initial- and boundary-value problems associated with wave propagation and diffusion. Then, by consid
Externí odkaz:
https://doaj.org/article/790e494cb3164470ba60cc02d5ea1a39
Publikováno v:
Mathematics, Vol 8, Iss 7, p 1122 (2020)
We provide a numerical package for the computation of a d-variate near G-optimal polynomial regression design of degree m on a finite design space X ⊂ R d , by few iterations of a basic multiplicative algorithm followed by Tchakaloff-like compressi
Externí odkaz:
https://doaj.org/article/c4602b7ac3b943e0b0cad8555599d1a2
Autor:
Marta Gatto, Fabio Marcuzzi
Publikováno v:
Mathematics, Vol 8, Iss 6, p 982 (2020)
In this paper we analyze the bias in a general linear least-squares parameter estimation problem, when it is caused by deterministic variables that have not been included in the model. We propose a method to substantially reduce this bias, under the
Externí odkaz:
https://doaj.org/article/033ccc5db0cc496e832e3dac274b3605
Autor:
Chiara Faccio, Fabio Marcuzzi
Publikováno v:
Linear Algebra and its Applications. 644:149-171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b63aa01130a1845fce68327787d35d40
https://doi.org/10.1016/j.laa.2022.02.038
https://doi.org/10.1016/j.laa.2022.02.038
In this work we apply the "deviation maximization", a new column selection strategy, to the Lawson-Hanson algorithm for the solution of NonNegative Least Squares (NNLS), devising a new algorithm we call Lawson-Hanson with Deviation Maximization (LHDM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27a6b63d25d5fe2b4ef2d3f7a9ee23fe
http://arxiv.org/abs/2108.05345
http://arxiv.org/abs/2108.05345
Autor:
Monica Dessole, Fabio Marcuzzi
Publikováno v:
Computers & Mathematics with Applications. 77:907-927
In this work we investigate the numerical difficulties that arise in optimizing the efficiency of Newtonian fluids simulations on a massively parallel computing hardware like a GPU. In particular, we will concentrate on the resulting algebraic proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f645ef4b6346ff61a74adb589f721114
https://doi.org/10.1016/j.camwa.2018.10.037
https://doi.org/10.1016/j.camwa.2018.10.037
Autor:
Monica Dessole, Fabio Marcuzzi
In this paper we introduce a new column selection strategy, named here ``Deviation Maximization", and apply it to compute rank-revealing QR factorizations as an alternative to the well known block version of the QR factorization with the column pivot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eab5f2a08c043042d481bfc510c911b
Publikováno v:
Mathematics, Vol 8, Iss 1122, p 1122 (2020)
Mathematics
Volume 8
Issue 7
Mathematics
Volume 8
Issue 7
We provide a numerical package for the computation of a d-variate near G-optimal polynomial regression design of degree m on a finite design space X &sub
R d , by few iterations of a basic multiplicative algorithm followed by Tchakaloff-like com
R d , by few iterations of a basic multiplicative algorithm followed by Tchakaloff-like com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62eafc916bb3f81e79d2df85c5be2db7
https://www.mdpi.com/2227-7390/8/7/1122
https://www.mdpi.com/2227-7390/8/7/1122
Autor:
Fabio Marcuzzi
Publikováno v:
Journal of Computational and Applied Mathematics. 331:11-22
An improved algorithm for the estimation of physical parameters with sub-sampled and delayed data is here presented. It shows a much better accuracy than the state-of-the-art when the sampling time of data acquisition T s is much higher than the disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bfa398b14d505816e2601854dc7b0b4
https://doi.org/10.1016/j.cam.2017.09.036
https://doi.org/10.1016/j.cam.2017.09.036
Publikováno v:
Mechatronics. 43:99-111
The large majority of technological devices can be seen as the sum of components of heterogeneous nature (electrical, mechanical, thermal, software, etc.) so that their analysis and design calls for the use of tools from different engineering discipl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27aff6986743d67beb4885ce3a7e6359
https://doi.org/10.1016/j.mechatronics.2017.03.004
https://doi.org/10.1016/j.mechatronics.2017.03.004