In this paper we consider discrete inverse problems for which noise becomes negligible compared to data with increasing model norm. We introduce two novel definitions of regularization for ...
This paper compares the method of Tikhonov regularization as advanced in 1963 with the more recent approach utilizing the theory of reproducing kernel Hilbert spaces (RKHS). The methods are shown to ...
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