直言不讳
发表于 2025-3-25 04:20:01
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Wallow
发表于 2025-3-25 07:49:10
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复习
发表于 2025-3-25 15:04:49
Kristine Brechtximating local, spatial averages of the flow. Since its birth in 1970, LES has undergone an explosive development and has matured into a highly-developed computational technology. It uses the tools of turbulence theory and the experience gained from practical computation...This book focuses on the m
ANNUL
发表于 2025-3-25 17:40:42
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homocysteine
发表于 2025-3-25 21:53:27
Julian Duranst time in book form by one of the leaders in the field.Incl.Large eddy simulation (LES) is a method of scientific computation seeking to predict the dynamics of organized structures in turbulent flows by approximating local, spatial averages of the flow. Since its birth in 1970, LES has undergone a
大炮
发表于 2025-3-26 00:49:57
Angelo Cuzalina,Pasquale G. Tolomeo,Victoria A. Mañón things, results, applications, references. For this and other reasons, it is quite obvious that the results given here are a very little part of the known theorems, mainly in the existence. So, no claims to be complete. We shall deal with a topological vector space X and a cone C ⊂ ℝ. that is always
取回
发表于 2025-3-26 08:02:30
Ted S. Eisenbergthings, results, applications, references. For this and other reasons, it is quite obvious that the results given here are a very little part of the known theorems, mainly in the existence. So, no claims to be complete. We shall deal with a topological vector space X and a cone C ⊂ ℝ. that is always
Pastry
发表于 2025-3-26 08:28:10
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伴随而来
发表于 2025-3-26 13:19:20
Kulwant S. Bhangood electrical engineers - Uses a unifying approach to exploreFourier transforms of large multidimensional data sets arise in many fields --ranging from seismology to medical imaging. The rapidly increasing power of computer chips, the increased availability of vector and array processors, and the inc
Confirm
发表于 2025-3-26 18:05:46
Mubariz Mammadli,Mohan Thomas,James D’silvad electrical engineers - Uses a unifying approach to exploreFourier transforms of large multidimensional data sets arise in many fields --ranging from seismology to medical imaging. The rapidly increasing power of computer chips, the increased availability of vector and array processors, and the inc