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Quantification of uncertainty improving efficiency and technology: quiet selected contributions
This book explores four guiding themes – reduced order modelling, high dimensional problems, efficient algorithms, and applications – by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial diff...
Autores principales: | D'Elia, Marta, Gunzburger, Max, Rozza, Gianluigi |
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Lenguaje: | eng |
Publicado: |
Springer
2020
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-48721-8 http://cds.cern.ch/record/2727040 |
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