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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Bibliographic Details

Main Author:	McClarren, Ryan G. (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer International Publishing, 2018.
Edition:	1st ed. 2018.
Subjects:	Physics. Computer mathematics. Statistics . Applied mathematics. Engineering mathematics. Mathematical physics. Computer simulation.
ISBN:	9783319995250
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