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Uncertainty Quantification: An Accelerated Course with Advanced Applications in Computational Engineering
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Presents fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification Includes several topics not currently published in research monographs Covers the basic models and advanced methodologies for constructing the stochastic modeling of uncertainties
Presents fundamental mathematical tools of probability and statistics that are directly useful for uncertainty quantification Includes several topics not currently published in research monographs Covers the basic models and advanced methodologies for constructing the stochastic modeling of uncertainties
Additional information
| Book Format | Hardcover, Softcover |
|---|
Book information
Edition
1st Edition
ISBN [Hardcover]
9783319543383
ISBN [Softcover]
9783319853727
Publisher
Springer
Year
2017
Pages
XXII, 329 p.
Series Title
Interdisciplinary Applied Mathematics
Language
English

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