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Uncertainty Quantification - 9781611973211

Un libro in lingua di Smith Ralph C. edito da Society for Industrial & Applied, 2013

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Smith establishes a computational framework for quantifying input and response uncertainties in a manner that facilitates predictions with quantified and reduced uncertainty. Model calibration and uncertainty propagation are the core of the prediction process, he says, but large-scale applications require a range of supporting tools. The topics include prototypical models, the representation of random inputs, frequentist techniques for estimating parameters, sparse grid quadrature and interpolation techniques, and local and global sensitivity analysis. Annotation ©2014 Book News, Inc., Portland, OR (booknews.com)

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