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Uncertainty quantification: theory, implementation, and applications
The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Qu...
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Lenguaje: | eng |
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Society for Industrial and Applied Mathematics
2014
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Acceso en línea: | http://cds.cern.ch/record/1951408 |