This toolbox solves many sparse, low-rank matrix and low-rank tensor optimization problems by using ADMM developed in our paper below.

Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin. A Unified Alternating Direction Method of Multipliers by Majorization Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017

The list of problems solved in this toolbox are as follows.