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

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

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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.


Request Code : ZLIBIO2889611
Categories:
Year:
2020
Edition:
1st ed.
Publisher:
Springer International Publishing;Springer
Language:
English
Pages:
XI, 282
ISBN 13:
9783030487218
ISBN:
9783030487201,9783030487218
Series:
Lecture Notes in Computational Science and Engineering 137
This book is not available due to the complaint of the copyright holder.

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