Titlebook: High Performance Computing in Science and Engineering, Munich 2004; Transactions of the Siegfried Wagner,Werner Hanke,Franz Durst Conferen

心胸開闊

Michael Bühl,Rachel Schurhammer,Petra Imhof“geometrically” on the space of independent and dependent variables. E. Noether was the first to recognize that one could significantly extend the application of symmetry group methods by including derivatives of the relevant dependent variables in the transformations (or, more correctly, their infi

刺激

Markus P?hlmann,Andreas Meyer,Magali Benoit,Walter Kobv–Wiener Prediction in its general form. The best linear uniformly unbiased estimator (BLUUE) is derived. An explicit representation of the error budget in the general Gauss–Markov model with mixed effects is constructed under the restriction that the covariances and the correlations are known up to

原諒

天空

stratum-corneum

Maximizer

生氣地

High-Performance Computing in Turbulence Research: Separated Flow Past an Airfoil at High Angle of Ans were carried out using large-eddy simulations (LES) applying two different subgrid-scale (SGS) models, namely the Smagorinsky model and the dynamic model by Germano/Lilly. For this kind of flow simulations high-performance computers such as the presently used SMP cluster Hitachi SR8000-F1 are ine

MOAN

GRAIN

A Coupled DNS/Monte-Carlo Solver for Dilute Suspensions of Brownian Fibres in Turbulent Channel Flow DNS investigates the potential of drag reduction under situations, where no internal elasticity of the additives is present. The DNS is solving the microscopic equations for the suspended fibres and couples the resulting stresses into a (macroscopic) DNS of the solvent. The microscopic equations fo

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