Titlebook: Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics; Results of the Germa Bernhard Eisfeld,Holger Barnewitz,F

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Numerical Methods for Uncertainty Quantification and Bayesian Update in Aerodynamics are the angle of attack and the Mach number. The discretisation techniques which we used here are the Karhunen-Loève and the polynomial chaos expansions. To integrate high-dimensional integrals in probabilistic space we used Monte Carlo simulations and collocation methods on sparse grids. To reduce

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Optimal Aerodynamic Design under Uncertaintyht conditions and geometry uncertainties, a design optimized by a traditional design optimization method seeking only optimality may not achieve its expected performance. Robust optimization deals with optimal designs, which are robust with respect to small (or even large) perturbations of the optim

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S. Albensoederghtforward language for a general audience.Demonstrates ChinThis book introduces the research process and principles of the controlled super-coupling nuclear fusion experiment at the Experimental Advanced Superconducting Tokamak (EAST) nuclear fusion reactor in Hefei, China. It uses straightforward

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