An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation - researchr publication related

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Hong Zhu 0012, Michael K. Ng, Guang-Jing Song. An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation. J. Sci. Comput., 88(2):45, 2021. [doi]

The following publications are possibly variants of this publication:

Correction to: An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix ApproximationHong Zhu 0012, Michael K. Ng, Guang-Jing Song. jscic, 90(1):37, 2022. [doi]

Nonnegative low rank matrix approximation for nonnegative matricesGuang-Jing Song, Michael K. Ng. appml, 105:106300, 2020. [doi]

Tangent Space Based Alternating Projections for Nonnegative Low Rank Matrix ApproximationGuang-Jing Song, Michael K. Ng 0001, Tai-Xiang Jiang. tkde, 35(11):11917-11934, November 2023. [doi]

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