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Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions

Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions
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Dewey Class 518
Title Quantification of Uncertainty: Improving Efficiency and Technology : QUIET selected contributions (M) / edited by Marta D'Elia, Max Gunzberger, Gianluigi Rozza
Added Personal Name D'Elia, Marta
Gunzburger, Max
Rozza, Gianluigi
Publication Cham : Springer , 2020
Physical Details xii, 272 pages : ill. ; 24 cm.
Series Lecture Notes in Computational Science and Engineering ; 137
ISBN 9783030487201
Summary Note 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 book’s content will impact the scientific, engineering, financial, economic, environmental, social, and commercial sectors.:
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Item Information
Barcode Shelf Location Collection Volume Ref. Branch Status Due Date
0000000044175 519.63 QUA
General   SISSA . . Available .  
. Catalogue Record 50002 ItemInfo Beginning of record . Catalogue Record 50002 ItemInfo Top of page .

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