LibADMM-toolbox:用于稀疏和低秩优化的ADMM库
LibADMM工具箱
1.简介
该工具箱使用本文中开发的M-ADMM 解决了许多稀疏，低秩矩阵和低秩张量优化问题。
2.问题清单
下表列出了我们工具箱中已解决的问题。 请参阅以下手册中的更多详细信息： 。
3.引文
在您的论文中引用此工具箱时，请使用以下参考资料：
C. Lu, J. Feng, S. Yan, Z. Lin. A Unified Alternating Direction Method of Multipliers by Majorization
Minimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, pp. 527-541, 2018
C. Lu. A Library of ADMM for Sparse and Low-rank Optimizat
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