Published January 1, 2020
| Version v1
Thesis
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Optimal choice of spatially adaptive parameters in total generalized variation via bilevel optimization with applications to Fourier inpainting
Creators
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1.
Weierstrass Institute for Applied Analysis and Stochastics
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2.
Queen Mary University of London
Description
Masterthesis of Clemens Sirotenko, written in 2019/2020 at Humboldt University, supervised by Prof. Michael Hintermüller and Dr. Kostas Papafitsoros on the topic:
"Optimal choice of spatially adaptive parameters in total generalized variation via bilevel optimization with applications to Fourier inpainting".
Files
master_arbeit_corrected_version_8.pdf
Files
(1.7 MB)
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