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, applied and computational mathematics, high performance ...

Large-Scale Inverse Problems and Quantification of Uncertainty 2010, Wiley, Chichester, England

ISBN-13: 9780470697436

Hardcover

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