Zobrazeno 1 - 10
of 504
pro vyhledávání: '"acceleration of computations"'
Autor:
Mishra, Siddhartha
We propose a machine learning framework to accelerate numerical computations of time-dependent ODEs and PDEs. Our method is based on recasting (generalizations of) existing numerical methods as artificial neural networks, with a set of trainable para
Externí odkaz:
http://arxiv.org/abs/1807.09519
Autor:
Plecháč, Petr, von Schwerin, Erik
We propose a Multi-level Monte Carlo technique to accelerate Monte Carlo sampling for approximation of properties of materials with random defects. The computational efficiency is investigated on test problems given by tight-binding models of a singl
Externí odkaz:
http://arxiv.org/abs/1611.09784
Publikováno v:
In Advances in Engineering Software January 2015 79:27-35
Autor:
Siddhartha Mishra
Publikováno v:
Mathematics in Engineering, Vol 1, Iss 1, Pp 118-146 (2018)
We propose a machine learning framework to accelerate numerical computations oftime-dependent ODEs and PDEs. Our method is based on recasting (generalizations of) existingnumerical methods as artificial neural networks, with a set of trainable parame
Externí odkaz:
https://doaj.org/article/a3309063cf4d4ffba9a3db16650a5fb6
Akademický článek
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Autor:
Mafi, Ramin1, Sirouspour, Shahin1
Publikováno v:
International Journal for Numerical Methods in Biomedical Engineering. Mar2014, Vol. 30 Issue 3, p365-381. 17p.
Autor:
Michael Schäfer
Publikováno v:
Computational Engineering-Introduction to Numerical Methods ISBN: 9783030760267
For complex practical problems the numerical simulation of the corresponding continuum mechanical model equations usually is highly demanding with respect to the efficiency of the numerical solution methods as well as to the performance of the comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f02436a4baebe364f4f82a62c3953ec
https://doi.org/10.1007/978-3-030-76027-4_14
https://doi.org/10.1007/978-3-030-76027-4_14
Autor:
Aparinov, A. A.1,2, Setukha, A. V.1,2
Publikováno v:
Differential Equations. Sep2009, Vol. 45 Issue 9, p1358-1369. 12p.
Akademický článek
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Autor:
Eugeniusz Zieniuk, Andrzej Kużelewski
Publikováno v:
Advances in Engineering Software. 79:27-35
A novel (parallel) approach of numerical implementation of PIES (named GPU-accelerated PIES) is proposed.Processing power of GPU is used to accelerate computations.The accuracy of the solutions obtained using GPU-accelerated PIES was examined.Computa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1d38f386da7704d40daf5c0d4e3ac79
https://doi.org/10.1016/j.advengsoft.2014.09.003
https://doi.org/10.1016/j.advengsoft.2014.09.003