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Computational Uncertainty Quantification for Inverse Problems

Research output: Book/ReportBookpeer-review

Abstract

This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanced material on Bayesian methods and UQ, including Markov chain Monte Carlo sampling methods for UQ in inverse problems. Each chapter contains MATLAB® code that implements the algorithms and generates the figures, as well as a large number of exercises accessible to both graduate students and researchers.
Original languageAmerican English
Place of PublicationPhiladelphia
PublisherSociety for Industrial and Applied Mathematics Publications
Number of pages133
DOIs
StatePublished - 2018

Publication series

NameComputational Science and Engineering

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