Uncertainty Quantification, Softcover reprint of the original 1st ed. 2017 An Accelerated Course with Advanced Applications in Computational Engineering Interdisciplinary Applied Mathematics Series, Vol. 47
Auteur : Soize Christian
Date de parution : 07-2018
Ouvrage de 329 p.
15.5x23.5 cm
Date de parution : 05-2017
Ouvrage de 329 p.
15.5x23.5 cm
Thèmes d’Uncertainty Quantification :
Mots-clés :
High Stochastic Dimension; Maximum Entropy Principle; MCMC Methods; Model Uncertainties; Model-parameter Uncertainties; Non-Gaussian Random Fields; Nonparametric Uncertainties; Polynomial Chaos Expansion; Random Matrices; Robust Design; Statistical Inverse Problems; Stochastic Reduced-order Computational Models