Download the fantastic book titled Quantification of Uncertainty Improving Efficiency and Technology written by Marta D'Elia, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Quantification of Uncertainty Improving Efficiency and Technology", which was released on 30 July 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.
Summary of Quantification of Uncertainty Improving Efficiency and Technology by Marta D'Elia PDF
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.
Detail About Quantification of Uncertainty Improving Efficiency and Technology PDF
- Author : Marta D'Elia
- Publisher : Springer Nature
- Genre : Mathematics
- Total Pages : 290 pages
- ISBN : 3030487210
- Release Date : 30 July 2020
- PDF File Size : 7,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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