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Uncertainty quantification: an accelerated course with advanced applications in computational engineering

This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses in parametric uncertainties, and non-parametric uncertainties wi...

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Detalles Bibliográficos
Autor principal: Soize, Christian
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-54339-0
http://cds.cern.ch/record/2263528