Iterative Choices of Regularization Parameters in Linear Inverse Problems

Abstract

We investigate possibilities of choosing reasonable regularization parameters for the output least squares formulation of linear inverse problems. Based on the Morozov and damped Morozov discrepancy principles, we propose two iterative methods, a quasi-Newton method and a two-parameter model function method, for finding some reasonable regularization… (More)

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Cite this paper

@inproceedings{Kunisch1998IterativeCO, title={Iterative Choices of Regularization Parameters in Linear Inverse Problems}, author={Karl Kunisch and Jun Zou}, year={1998} }