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Mathematical statistics --- 519.24 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Special statistical applications and models --- Statistical methods --- Mathematical statistics. --- 519.24 Special statistical applications and models

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Mathematical statistics --- 519.24 --- 519.2 --- #WWIS:STAT --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- 519.24 Special statistical applications and models --- Special statistical applications and models --- Statistique mathématique --- Mathematical statistics. --- Statistique mathématique

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Mathematical statistics --- Demography --- Population --- Mortality --- Mathematical models --- 519.24 --- -Population --- -#WWIS:d.d. Prof. Teugels --- Human population --- Human populations --- Population growth --- Populations, Human --- Economics --- Human ecology --- Sociology --- Malthusianism --- Mortality, Law of --- Death --- Death (Biology) --- Special statistical applications and models --- Tables --- 519.24 Special statistical applications and models --- #WWIS:d.d. Prof. Teugels --- Life tables --- Mortality tables --- Population - Mathematical models --- Mortality - Tables

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Mathematical statistics --- Statistique mathématique --- Congresses --- Congrès --- 519.24 --- -#WWIS:STAT --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Special statistical applications and models --- Statistical methods --- 519.24 Special statistical applications and models --- Statistique mathématique --- Congrès --- #WWIS:STAT --- Statistique mathematique --- Mathematical statistics - Congresses

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Computational resources have developed to the level that, for the first time, it is becoming possible to apply large-eddy simulation (LES) to turbulent flow problems of realistic complexity. Many examples can be found in technology and in a variety of natural flows. This puts issues related to assessing, assuring, and predicting the quality of LES into the spotlight. Several LES studies have been published in the past, demonstrating a high level of accuracy with which turbulent flow predictions can be attained, without having to resort to the excessive requirements on computational resources imposed by direct numerical simulations. However, the setup and use of turbulent flow simulations requires a profound knowledge of fluid mechanics, numerical techniques, and the application under consideration. The susceptibility of large-eddy simulations to errors in modelling, in numerics, and in the treatment of boundary conditions, can be quite large due to nonlinear accumulation of different contributions over time, leading to an intricate and unpredictable situation. A full understanding of the interacting error dynamics in large-eddy simulations is still lacking. To ensure the reliability of large-eddy simulations for a wide range of industrial users, the development of clear standards for the evaluation, prediction, and control of simulation errors in LES is summoned. The workshop on Quality and Reliability of Large-Eddy Simulations, held October 22-24, 2007 in Leuven, Belgium (QLES2007), provided one of the first platforms specifically addressing these aspects of LES.

Numerical analysis --- Computer. Automation --- numerieke analyse --- mechanica --- Thermodynamics --- algoritmen --- thermodynamica --- Classical mechanics. Field theory --- Eddies --- Academic collection --- 519.24 --- Fluid dynamics --- Turbulence --- Water currents --- Whirlpools --- 519.24 Special statistical applications and models --- Special statistical applications and models --- Mathematical models --- Simulation methods --- Reliability