Large-Scale Inverse Problems and Quantification of Uncertainty

Large-Scale Inverse Problems and Quantification of Uncertainty

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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. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization,… (more)


Book Details  


Publisher: Wiley (June 23, 2011)

Collection: Wiley Series in Computational Statistics

Format: EPUB

Page count: 388 pages

File size: 12 MB

Protection: DRM

Language: English


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