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Uncertainty quantification and predictive computational science: a foundation for physical scientists and engineers

This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-conse...

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Detalles Bibliográficos
Autor principal: McClarren, Ryan G
Lenguaje:eng
Publicado: Springer 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-99525-0
http://cds.cern.ch/record/2650839

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