Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Marin, Oana"'
Autor:
Adams, Mark, Balay, Satish, Marin, Oana, McInnes, Lois Curfman, Mills, Richard Tran, Munson, Todd, Zhang, Hong, Zhang, Junchao, Brown, Jed, Eijkhout, Victor, Faibussowitsch, Jacob, Knepley, Matthew, Kong, Fande, Kruger, Scott, Sanan, Patrick, Smith, Barry F.
The communities who develop and support open source scientific software packages are crucial to the utility and success of such packages. Moreover, these communities form an important part of the human infrastructure that enables scientific progress.
Externí odkaz:
http://arxiv.org/abs/2201.00967
To target challenges in differentiable optimization we analyze and propose strategies for derivatives of the Mat\'ern kernel with respect to the smoothness parameter. This problem is of high interest in Gaussian processes modelling due to the lack of
Externí odkaz:
http://arxiv.org/abs/2201.00262
The Mat\'ern covariance function is ubiquitous in the application of Gaussian processes to spatial statistics and beyond. Perhaps the most important reason for this is that the smoothness parameter $\nu$ gives complete control over the mean-square di
Externí odkaz:
http://arxiv.org/abs/2201.00090
Autor:
Zhang, Junchao, Brown, Jed, Balay, Satish, Faibussowitsch, Jacob, Knepley, Matthew, Marin, Oana, Mills, Richard Tran, Munson, Todd, Smith, Barry F., Zampini, Stefano
PetscSF, the communication component of the Portable, Extensible Toolkit for Scientific Computation (PETSc), is designed to provide PETSc's communication infrastructure suitable for exascale computers that utilize GPUs and other accelerators. PetscSF
Externí odkaz:
http://arxiv.org/abs/2102.13018
Fitting B-splines to discrete data is especially challenging when the given data contain noise, jumps, or corners. Here, we describe how periodic data sets with these features can be efficiently and robustly approximated with B-splines by analyzing t
Externí odkaz:
http://arxiv.org/abs/2012.04123
Rod bundle flows are commonplace in nuclear engineering, and are present in light water reactors (LWRs) as well as other more advanced concepts. Inhomogeneities in the bundle cross section can lead to complex flow phenomena, including varying local c
Externí odkaz:
http://arxiv.org/abs/2007.00630
Rod bundle flows are prevalent in nuclear engineering for both light water reactors (LWR) and advanced reactor concepts. Unlike canonical channel flow, the flow in rod bundles presents some unique characteristics, notably due to the inhomogeneous cro
Externí odkaz:
http://arxiv.org/abs/2007.00241
Autor:
Ngom, Marieme, Marin, Oana
We present a Fourier neural network (FNN) that can be mapped directly to the Fourier decomposition. The choice of activation and loss function yields results that replicate a Fourier series expansion closely while preserving a straightforward archite
Externí odkaz:
http://arxiv.org/abs/2005.13100
Publikováno v:
In Mathematics and Computers in Simulation November 2023 213:374-393
Autor:
Marin, Oana1 (AUTHOR) oana.marin@cs.utcluj.ro, Cioara, Tudor1 (AUTHOR) tudor.cioara@cs.utcluj.ro, Toderean, Liana1 (AUTHOR), Mitrea, Dan1 (AUTHOR), Anghel, Ionut1 (AUTHOR)
Publikováno v:
Future Internet. Dec2023, Vol. 15 Issue 12, p382. 27p.