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Handbook of Uncertainty Quantification / edited by Roger Ghanem, David Higdon, Houman Owhadi.
Springer Nature - Springer Mathematics and Statistics eBooks 2017 English International Available online
View online- Format:
- Book
- Language:
- English
- Subjects (All):
- Probabilities.
- Engineering mathematics.
- Engineering--Data processing.
- Engineering.
- Statistics.
- Probability Theory.
- Mathematical and Computational Engineering Applications.
- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
- Local Subjects:
- Probability Theory.
- Mathematical and Computational Engineering Applications.
- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
- Physical Description:
- 1 online resource (520 illus., 424 illus. in color. eReference.)
- Edition:
- 1st ed. 2017.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- Summary:
- The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution. .
- Contents:
- Preliminaries
- methodology.-sensitivity analysis
- forward problems
- risk
- codes of practise and factors of safety
- software. .
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