Zobrazeno 1 - 8
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pro vyhledávání: '"L. Minah Yang"'
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 149:1018-1037
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7f5a1409aab9b6eb002716da2896ad0
https://doi.org/10.1002/qj.4446
https://doi.org/10.1002/qj.4446
An essential step in implementing any new parameterization is calibration, where the parameterization is adjusted to work with an existing model and yield some desired improvement. In the context of gravity wave (GW) momentum transport, calibration i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e6e3cd5ce9063c86da8b5da2050ccf0
https://doi.org/10.5194/egusphere-egu22-6674
https://doi.org/10.5194/egusphere-egu22-6674
Autor:
L. Minah Yang, Ian Grooms
Using generative models from the machine learning literature to create artificial ensemble members for use within data assimilation schemes has been introduced in [Grooms QJRMS, 2020] as constructed analog ensemble optimal interpolation (cAnEnOI). Sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8c6db5e93412b7484d773379302b080
Autor:
Alyson Fox, L. Minah Yang
Publikováno v:
HPEC
We explore the various ways rounding errors can impact the power method for calculating the Fielder vector for graph clustering. A rounding error analysis reveals that the best eigenpair that is computable with a certain floating point precision type
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::298ac45a17c855a80e89ff0170bca0e6
https://doi.org/10.1109/hpec43674.2020.9286190
https://doi.org/10.1109/hpec43674.2020.9286190
Publikováno v:
Journal of Computational Physics. 434:109992
Exponential and IMEX integrators are considered for wave turbulence problems, which are stiff systems that often require long-time simulations. Applying a multi-scale asymptotic analysis to the difference equations for a simple wave turbulence proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ef9535c72fec42b8f90114fc16b7d8c
https://doi.org/10.1016/j.jcp.2020.109992
https://doi.org/10.1016/j.jcp.2020.109992
Although mixed precision arithmetic has recently garnered interest for training dense neural networks, many other applications could benefit from the speed-ups and lower storage cost if applied appropriately. The growing interest in employing mixed p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::005339dd6d3b77511f5c67c4ef2d29d9
Akademický článek
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Conference
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