Riemannian Thresholding algorithms for simultaneous low-rank and row-sparse recovery problems.
This repository contains MATLAB implementations of the algorithms studied in [EKPU22].
Original repository by authors Henrik Eisenmann, Felix Krahmer, Max Pfeffer, and André Uschmajew of [EKPU22] available [here].
- [EKPU22] Henrik Eisenmann, Felix Krahmer, Max Pfeffer, and André Uschmajew. Riemannian thresholding methods for row-sparse and low-rank matrix recovery. Numerical Algorithms, 93 (2):669–693, 2023.