On Regularization Methods for Inverse Problems of Dynamic Type

Numerical Functional Analysis and Optimization ◽

10.1080/01630560600569973 ◽

2006 ◽

Vol 27 (2) ◽

pp. 139-160 ◽

Author(s):

S. Kindermann ◽

A. Leitão

Keyword(s):

Inverse Problems ◽

Regularization Methods ◽

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Regularization methods for inverse problems in x-ray tomography

10.1117/12.860260 ◽

2010 ◽

Author(s):

Valeriy Titarenko ◽

Robert Bradley ◽

Christopher Martin ◽

Philip J. Withers ◽

Sofya Titarenko

Keyword(s):

Inverse Problems ◽

Regularization Methods ◽

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Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning

SIAM Journal on Numerical Analysis ◽

10.1137/19m1256038 ◽

2020 ◽

Vol 58 (6) ◽

pp. 3504-3529

Author(s):

Sabrina Guastavino ◽

Federico Benvenuto

Keyword(s):

Inverse Problems ◽

Convergence Rates ◽

Kernel Learning ◽

Regularization Methods ◽

Spectral Regularization ◽

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Regularization methods for linear inverse problems

Lecture Notes in Mathematics - Inverse Problems ◽

10.1007/bfb0072660 ◽

1986 ◽

pp. 52-112 ◽

Author(s):

M. Bertero

Keyword(s):

Inverse Problems ◽

Regularization Methods ◽

Linear Inverse Problems

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Second order asymptotical regularization methods for inverse problems in partial differential equations

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2020.112798 ◽

2020 ◽

Vol 375 ◽

pp. 112798

Author(s):

Ye Zhang ◽

Rongfang Gong

Keyword(s):

Partial Differential Equations ◽

Inverse Problems ◽

Differential Equations ◽

Second Order ◽

Regularization Methods ◽

Partial Differential

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On multiple level-set regularization methods for inverse problems

Inverse Problems ◽

10.1088/0266-5611/25/3/035004 ◽

2009 ◽

Vol 25 (3) ◽

pp. 035004 ◽

Author(s):

A DeCezaro ◽

A Leitão ◽

X-C Tai

Keyword(s):

Inverse Problems ◽

Level Set ◽

Regularization Methods ◽

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Inverse problems in imaging science: from classical regularization methods to state of the art Bayesian methods

International Image Processing, Applications and Systems Conference ◽

10.1109/ipas.2014.7043317 ◽

2014 ◽

Author(s):

Ali Mohammad-Djafari

Keyword(s):

Inverse Problems ◽

Bayesian Methods ◽

State Of The Art ◽

Regularization Methods ◽

Imaging Science

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Solution paths of variational regularization methods for inverse problems

Inverse Problems ◽

10.1088/1361-6420/ab1d71 ◽

2019 ◽

Vol 35 (10) ◽

pp. 105012 ◽

Author(s):

Leon Bungert ◽

Martin Burger

Keyword(s):

Inverse Problems ◽

Regularization Methods ◽

Variational Regularization

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Convergence of regularization methods with filter functions for a regularization parameter chosen with GSURE and mildly ill-posed inverse problems

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2020.112938 ◽

2020 ◽

Vol 378 ◽

pp. 112938

Author(s):

Bruno Sixou

Keyword(s):

Inverse Problems ◽

Regularization Parameter ◽

Regularization Methods ◽

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Assessment of Tikhonov-type regularization methods for solving atmospheric inverse problems

Journal of Quantitative Spectroscopy and Radiative Transfer ◽

10.1016/j.jqsrt.2016.08.003 ◽

2016 ◽

Vol 184 ◽

pp. 274-286 ◽

Author(s):

Jian Xu ◽

Franz Schreier ◽

Adrian Doicu ◽

Thomas Trautmann

Keyword(s):

Inverse Problems ◽

Regularization Methods

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Full convergence of sequential local regularization methods for Volterra inverse problems

Inverse Problems ◽

10.1088/0266-5611/21/3/001 ◽

2005 ◽

Vol 21 (3) ◽

pp. 785-803 ◽

Author(s):

Patricia K Lamm

Keyword(s):

Inverse Problems ◽

Regularization Methods ◽

Local Regularization

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