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Abstract: We present a new method for regularization of ill-conditioned problems that extends the traditional trust-region approach. Ill-conditioned problems arise, for example, in image restoration or mathematical processing of medical data, and involve matrices that are very ill-conditioned. The method makes use of the L-curve and L-curve maximum curvature criterion as a strategy recently proposed to find a good regularization parameter. We describe the method and show its application to an image... (Update)
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BibTeX entry: (Update)
@misc{ region-regularization,
author = "Parameterized Trust Region",
title = "Regularization Using a",
url = "citeseer.ist.psu.edu/761913.html" }
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