Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Grossman, Bernard"'
Autor:
Dadone, Andrea, Grossman, Bernard
Publikováno v:
In Computers and Fluids 2007 36(10):1513-1528
Publikováno v:
In Computers and Fluids 2006 35(10):1444-1458
Autor:
RUBIN, STANLEY G., GROSSMAN, BERNARD
Publikováno v:
Quarterly of Applied Mathematics, 1971 Jul 01. 29(2), 169-186.
Externí odkaz:
https://www.jstor.org/stable/43636195
Autor:
Cox, Steven E., Haftka, Raphael T., Baker, Chuck A., Grossman, Bernard, Mason, William H., Watson, Layne T.
Publikováno v:
航空宇宙技術研究所特別資料 = Special Publication of National Aerospace Laboratory. 44:23-28
航空宇宙技術研究所 16-18 Jun. 1999 東京 日本
National Aerospace Laboratory 16-18 Jun. 1999 Tokyo Japan
航空機の概念設計では、しばしば非凸面設計空間と複数の局所最適化に帰着する多数の非線
National Aerospace Laboratory 16-18 Jun. 1999 Tokyo Japan
航空機の概念設計では、しばしば非凸面設計空間と複数の局所最適化に帰着する多数の非線
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::76f554675e4eb27514e8eb1ed3483b9d
http://id.nii.ac.jp/1696/00037429/
http://id.nii.ac.jp/1696/00037429/
Autor:
T Haftka Raphael, Haim Dan, Balabanov Vladimir, Grossman Bernard, A Giunta Anthony, T Watson Layne, H Mason William
Publikováno v:
The Aeronautical Journal. 101:347-356
The presence of numerical noise in engineering design optimisation problems inhibits the use of many gradient-based optimisation methods. This numerical noise may result in the inaccurate calculation of gradients which in turn slows or prevents conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5cd5ba1ec7d008308d47fe73a443ac7
https://doi.org/10.1017/s0001924000066045
https://doi.org/10.1017/s0001924000066045
Autor:
Hosder, Serhat, Grossman, Bernard M., Haftka, Raphael T., Mason, William H., Watson, Layne T.
Different sources of uncertainty in CFD simulations are illustrated by a detailed study of two-dimensional, turbulent, transonic flow in a converging-diverging channel. Runs were performed with the commercial CFD code GASP using different turbulence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2485::84dbd8d594988b4ea23d7ee2d44f8c15
https://hdl.handle.net/10919/20167
https://hdl.handle.net/10919/20167
With optimization increasingly used in engineering applications, a series of optimization runs may be required, and it may be too expensive to converge them to very high accuracy. A procedure for estimating average optimization convergence errors fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2485::8e90c5040771cae3f447732d023fdf82
http://eprints.cs.vt.edu/archive/00000601/01/mdoOE00.pdf
http://eprints.cs.vt.edu/archive/00000601/01/mdoOE00.pdf
Surrogate functions have become an important tool in multidisciplinary design optimization to deal with noisy functions, high computational cost, and the practical difficulty of integrating legacy disciplinary computer codes. A combination of mathema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2485::01cd2275020928173cf843b4d3219b1c
https://hdl.handle.net/10919/20047
https://hdl.handle.net/10919/20047