Vetenskap & teknik
Quantification of Uncertainty: Improving Efficiency and Technology
Marta D'Elia • Max Gunzburger • Gianluigi Rozza
Inbunden
1959:-
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- Pocket/Paperback 1959:-
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 differential equations with random inputs. Highlighting the most promising approaches for (near-) future improvements in the way uncertainty quantification problems in the partial differential equation setting are solved, and gathering contributions by leading international experts, the books content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors.
- Format: Inbunden
- ISBN: 9783030487201
- Språk: Engelska
- Antal sidor: 282
- Utgivningsdatum: 2020-07-31
- Förlag: Springer Nature Switzerland AG