Cargando…
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...
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 |
Ejemplares similares
-
Uncertainty quantification in computational fluid dynamics
por: Bijl, Hester, et al.
Publicado: (2013) -
Uncertainty quantification: theory, implementation, and applications
por: Smith, Ralph C
Publicado: (2014) -
Risk, reliability and uncertainty quantification in structural engineering: theoretical bases
por: Noori, Mohammed
Publicado: (2018) -
Handbook of uncertainty quantification
por: Ghanem, Roger, et al.
Publicado: (2017) -
Handbook of uncertainty quantification
por: Ghanem, Roger, et al.
Publicado: (2019)