HIGHLIGHTS
- who: Miguel del Alamo and colleagues from the Department of Applied Mathematics, University of Twente, NB Enschede, The Netherlands have published the research: Variational Multiscale Nonparametric Regression: Algorithms and Implementation, in the Journal: Algorithms 2020, 13, 296 of /2020/
- what: The authors examine such computational issues for recently developed estimation methods in with a specific view on image denoising. Such hybrid methods were coined by Grasmair et_al as MIND estimators (MultIscale Nemirovski-Dantzig) and are the focus of this paper. The authors compare the convergence speed of the Chambolle-Pock, ADMM and semismooth Newton algorithms . . .
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