Quantification of Uncertainty Improving Efficiency and Technology is popular PDF and ePub book, written by Marta D'Elia in 2020-07-30, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Quantification of Uncertainty Improving Efficiency and Technology can be Read Online from any device for your convenience.
Quantification of Uncertainty Improving Efficiency and Technology Book PDF Summary
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 Book of Quantification of Uncertainty Improving Efficiency and Technology PDF
- Author : Marta D'Elia
- Release : 30 July 2020
- Publisher : Springer Nature
- ISBN : 9783030487218
- Genre : Mathematics
- Total Page : 290 pages
- Language : English
- PDF File Size : 20,8 Mb
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