An approximate augmented Lagrangian method for nonnegative low-rank matrix approximation
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Publication:2051047
DOI10.1007/s10915-021-01556-2zbMath1476.90318OpenAlexW3177781141MaRDI QIDQ2051047
Guang-Jing Song, Hong Zhu, Michael Kwok-Po Ng
Publication date: 1 September 2021
Published in: Journal of Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10915-021-01556-2
augmented Lagrangian methodnonnegative matrix factorizationlow-rank matrixnonnegative low-rank matrix approximation
Related Items (2)
Low-rank nonnegative tensor approximation via alternating projections and sketching ⋮ Correction to: ``An approximate augmented Lagrangian method for nonnegative low-rank matrix approximation
Cites Work
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- Variational Analysis
- A New Active Set Method For Nonnegative Matrix Factorization
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