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Language: en
Pages: 197
Pages: 197
Type: BOOK - Published: 2013 - Publisher:
The science of uncertainty quantification has gained a lot of attention over recent years. This is because models of real processes always contain some elements
Language: en
Pages: 345
Pages: 345
Type: BOOK - Published: 2018-11-23 - Publisher: Springer
This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the
Language: en
Pages:
Pages:
Type: BOOK - Published: 2012 - Publisher:
Recently there has been growing interest to characterize and reduce uncertainty in stochastic dynamical systems. This drive arises out of need to manage uncerta
Language: en
Pages: 228
Pages: 228
Type: BOOK - Published: 2017-07-05 - Publisher: BoD – Books on Demand
Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical
Language: en
Pages: 400
Pages: 400
Type: BOOK - Published: 2013-12-02 - Publisher: SIAM
The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale appli