A semi-smoothing augmented Lagrange multiplier algorithm for low-rank Toeplitz matrix completion
Abstract The smoothing augmented Lagrange multiplier (SALM) algorithm is a generalization of the augmented Lagrange multiplier algorithm for completing a Toeplitz matrix, which saves computational cost of the singular value decomposition (SVD) and approximates well the solution. However, the communi...
| الحاوية / القاعدة: | Journal of Inequalities and Applications |
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| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
SpringerOpen
2019-03-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://link.springer.com/article/10.1186/s13660-019-2033-7 |