Zobrazeno 1 - 10
of 55 589
pro vyhledávání: '"A, Pozza"'
Autor:
Ferrari, Vincenzo
Publikováno v:
Il Foro Italiano, 2017 Sep 01. 140(9), 2805/2806-2811/2812.
Externí odkaz:
https://www.jstor.org/stable/26969941
Autor:
Oh, Ki-Hwan, Borgioli, Leonardo, Mangano, Alberto, Valle, Valentina, Di Pangrazio, Marco, Toti, Francesco, Pozza, Gioia, Ambrosini, Luciano, Ducas, Alvaro, Žefran, Miloš, Chen, Liaohai, Giulianotti, Pier Cristoforo
In recent years, the application of machine learning to minimally invasive surgery (MIS) has attracted considerable interest. Datasets are critical to the use of such techniques. This paper presents a unique dataset recorded during ex vivo pseudo-cho
Externí odkaz:
http://arxiv.org/abs/2412.12238
Autor:
Pozza, Marco
We extend the study of eikonal Hamilton-Jacobi equations posed on networks performed by Siconolfi and Sorrentino (Anal. PDE, 2018) to a more general setting. Their approach essentially exploits that such equations correspond to discrete problems on a
Externí odkaz:
http://arxiv.org/abs/2412.01625
We prove a homogenization result for a family of time-dependent Hamilton-Jacobi equations, rescaled by a parameter $\varepsilon$ tending to zero, posed on a periodic network, with a suitable notion of periodicity that will be defined. As $\varepsilon
Externí odkaz:
http://arxiv.org/abs/2411.03803
We examine the numerical approximation of time-dependent Hamilton-Jacobi equations on networks, providing a convergence error estimate for the semi-Lagrangian scheme introduced in (Carlini and Siconolfi, 2023), where convergence was proven without an
Externí odkaz:
http://arxiv.org/abs/2411.02356
Autor:
Pozza, Francesco, Zanella, Giacomo
We study multiproposal Markov chain Monte Carlo algorithms, such as Multiple-try or generalised Metropolis-Hastings schemes, which have recently received renewed attention due to their amenability to parallel computing. First, we prove that no multip
Externí odkaz:
http://arxiv.org/abs/2410.23174
Routinely-implemented deterministic approximations of posterior distributions from, e.g., Laplace method, variational Bayes and expectation-propagation, generally rely on symmetric approximating densities, often taken to be Gaussian. This choice faci
Externí odkaz:
http://arxiv.org/abs/2409.14167
Autor:
Scoz, Luca, Cavulli, Fabio, Fedrigotti, Alessandro, Neri, Stefano, Pedrotti, Annaluisa, Dalmeri, Giampaolo
Publikováno v:
In Quaternary International 22 November 2016 423:49-57
Publikováno v:
Il Foro Italiano, 2011 Sep 01. 134(9), 2445/2446-2459/2460.
Externí odkaz:
http://www.jstor.org/stable/23207604
Autor:
Alessandro Cifariello
Publikováno v:
Studi Slavistici, Vol 18, Iss 1 (2021)
Book Review
Externí odkaz:
https://doaj.org/article/181f644549ab4399a9d6747d3f86ee85