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pro vyhledávání: '"Behnamian, Sara"'
Autor:
Langer, Andreas, Behnamian, Sara
Neural network approaches have been demonstrated to work quite well to solve partial differential equations in practice. In this context approaches like physics-informed neural networks and the Deep Ritz method have become popular. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2409.05569
Autor:
Behnamian, Sara, Mahmoodi, Amin
It is shown that a pointwise amenable Banach algebra need not be amenable. This positively answer a question raised by Dales, Ghahramani and Loy.
Comment: 4 pages
Comment: 4 pages
Externí odkaz:
http://arxiv.org/abs/1712.10065
Autor:
Behnamian, Sara, Esposito, Umberto, Holland, Grace, Alshehab, Ghadeer, Dobre, Ann M., Pirooznia, Mehdi, Brimacombe, Conrad S., Elhaik, Eran
Publikováno v:
In Cell Reports Methods 22 August 2022 2(8)
Publikováno v:
Journal of Islamic Architecture; Jun2020, Vol. 6 Issue 1, p7-12, 6p
Publikováno v:
Journal of the Science of Food & Agriculture; Oct2018, Vol. 98 Issue 13, p5112-5119, 8p