Abstract
In this chapter we discuss variational source conditions in the context of quadratic inverse problems. We start with a short introduction to the topic and then discuss more or less classical alternatives and their deficiencies. The first of the two main results of this chapter will state that variational source conditions are the right tool for our purposes, and the second demonstrates a way to obtain concrete variational source conditions for quadratic mappings.
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References
J. Flemming, Generalized Tikhonov regularization and modern convergence rate theory in Banach spaces (Shaker Verlag, Aachen, 2012)
B. Hofmann, B. Kaltenbacher, C. Pöschl, O. Scherzer, Inverse Problems 23(3), 987 (2007)
T. Hohage, F. Werner, Numerische Mathematik 123(4), 745 (2013)
S. Bürger, J. Flemming, B. Hofmann, Inverse Problems 32(10), 104006 (12pp) (2016)
B. Hofmann, P. Mathé, Inverse Problems 28, 104006 (17pp) (2012)
S. Bürger, Inverse Autoconvolution Problems with an Application in Laser Physics. Ph.D. thesis, Chemnitz University of Technology, Chemnitz, Germany (2016)
S. Bürger, B. Hofmann, Applicable Analysis 94(3), 477 (2015)
H.W. Engl, K. Kunisch, A. Neubauer, Inverse Problems 5, 523 (1989)
F. Werner, Journal of Inverse and Ill-Posed Problems 23(1), 75 (2015)
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Flemming, J. (2018). Variational Source Conditions. In: Variational Source Conditions, Quadratic Inverse Problems, Sparsity Promoting Regularization. Frontiers in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-95264-2_7
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DOI: https://doi.org/10.1007/978-3-319-95264-2_7
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Publisher Name: Birkhäuser, Cham
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