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Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in countless scientific fields. Richard Huber discusses a multi-parameter Tikhonov approach for systems of inverse problems in order to take advantage of their specific structure. Such an approach allows to choose the regularization weights of each subproblem individually with respect to the corresponding noise levels and degrees of ill-posedness.
Published by: Springer Spektrum
Publication Date: 2019-02-27
Format: Paperback
ISBN-13: 9783658253899
DOI: 10.1007/978-3-658-25390-5
Dimensions: 210cm x148cm
Pages: 136