Overview
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.
The book, Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions (Lecture Notes in Computational Science and Engineering #137) [Bulk, Wholesale, Quantity] ISBN#9783030487201 in Hardcover by may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Hardcover
Publication Date:
07/31/2020
ISBN-13:
9783030487201
Pages:
282
Publisher:
Springer International Publishing
