Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition

J Abe, M Yamagishi, I Yamada - Inverse Problems, 2020 - iopscience.iop.org
The convex envelopes of the direct discrete measures, for the sparsity of vectors or for the
low-rankness of matrices, have been utilized extensively as practical penalties in order to …
被引用次数：42 相关文章

Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition

J Abe, M Yamagishi, I Yamada - Inverse Problems, 2020 - ui.adsabs.harvard.edu
The convex envelopes of the direct discrete measures, for the sparsity of vectors or for the
low-rankness of matrices, have been utilized extensively as practical penalties in order to …

Linearly Involved Generalized Moreau Enhanced Models and Their Proximal Splitting Algorithm under Overall Convexity Condition

J Abe, M Yamagishi, I Yamada - arXiv preprint arXiv:1910.10337, 2019 - arxiv.org
The convex envelopes of the direct discrete measures, for the sparsity of vectors or for the
low-rankness of matrices, have been utilized extensively as practical penalties in order to …

[引用][C] Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition

J Abe, M Yamagishi, I Yamada - Inverse Problems, 2020 - cir.nii.ac.jp
Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm
under overall convexity condition | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …