Large-Scale Inverse Problems and Quantification of Uncertainty |
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Editor:
| Biegler, Lorenz Biros, George Ghattas, Omar Heinkenschloss, Matthias Keyes, David Mallick, Bani Tenorio, Luis van Bloemen Waanders, Bart Willcox, Karen Marzouk, Youssef |
Series title: | Wiley Series in Computational Statistics Ser. |
ISBN: | 978-0-470-69743-6 |
Publication Date: | Nov 2010 |
Publisher: | John Wiley & Sons, Incorporated
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Book Format: | Hardback |
List Price: | USD $174.95 |
Book Description:
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This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems.
This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems.