A new principle for choosing regularization parameter in certain inverse problems

Mathematics – Numerical Analysis

Scientific paper

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14 pages, 11 figures

Scientific paper

A new parameter choice rule for inverse problems is introduced. This
parameter choice rule was developed for total variation regularization in
electron tomography and might in general be useful for $L^1$ regularization of
inverse problems with high levels of noise in the data.

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