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OverviewTikhonov 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. Full Product DetailsAuthor: Richard HuberPublisher: Springer Fachmedien Wiesbaden Imprint: Springer Spektrum Edition: 2019 ed. Weight: 0.454kg ISBN: 9783658253899ISBN 10: 3658253894 Pages: 136 Publication Date: 27 February 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationRichard Huber wrote his master’s thesis under the supervision of Prof. Dr. Kristian Bredies at the Institute for Mathematics and Scientific Computing at Graz University, Austria. Tab Content 6Author Website:Countries AvailableAll regions |
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