Ground States and Singular Vectors of Convex Variational Regularization Methods
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If you have a question about this talk, please contact Luca Calatroni.
Singular value decomposition is the key tool in the analysis and understanding
of linear regularization methods. In the last decade nonlinear variational
approaches such as $\ell^1$ or total variation regularizations became quite
prominent regularization techniques with certain properties being superior to
standard methods. In the analysis of those, singular values and vectors did not
play any role so far, for the obvious reason that these problems are nonlinear,
together with the issue of defining singular values and singular vectors. In
this talk we want to start a study of singular values and vectors for nonlinear
variational regularization of linear inverse problems, with particular focus on
singular one-homogeneous regularization functionals.
This talk is part of the Cambridge Analysts' Knowledge Exchange series.
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