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Newton-type regularization methods for nonlinear inverse problems

Jin, Qinian


Inverse problems arise whenever one searches for unknown causes based on observation of their effects. Such problems are usually ill-posed in the sense that their solutions do not depend continuously on the data. In practical applications, one never has the exact data; instead only noisy data are available due to errors in the measurements. Thus, the development of stable methods for solving inverse problems is an important topic. In the last two decades, many methods have been developed for...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Proceedings of MODSIM 2011 International Congress on Modelling and Simulation


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