Variational Regularization for Systems of Inverse Problems Tikhonov

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

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Variational Regularization for Systems of Inverse Problems Tikhonov Regularization with Multiple Forward Operators

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Richard Huber

Variational Regularization for Systems of Inverse Problems Tikhonov Regularization with Multiple Forward Operators

Richard Huber Graz, Austria

ISSN 2625-3577 ISSN 2625-3615  (electronic) BestMasters ISBN 978-3-658-25390-5  (eBook) ISBN 978-3-658-25389-9 https://doi.org/10.1007/978­3­658­25390­5 Library of Congress Control Number: 2019931813 Springer Spektrum © Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer Spektrum imprint is published by the registered company Springer Fachmedien Wiesbaden GmbH part of Springer Nature The registered company address is: