Research Article
Sensitivity Analysis of the Proximal-Based Parallel Decomposition Methods
Table 1
Numerical results for stable principal component pursuit problem.
| | | | Iter. | | | CPU (s) | | | Iter. | | | CPU (s) |
| , , | 50 | 2 | 2 | 97 | | | 0.3 | | | 101 | | | 0.3 | 100 | 2 | 2 | 78 | | | 1.1 | | | 76 | | | 1.0 | 150 | 2 | 2 | 81 | | | 3.2 | | | 77 | | | 2.9 | 200 | 2 | 2 | 81 | | | 6.6 | | | 76 | | | 5.9 | 300 | 2 | 2 | 83 | | | 20.4 | | | 82 | | | 19.4 |
| , , | 50 | 2 | 2 | 181 | | | 0.5 | | | 180 | | | 0.5 | 100 | 2 | 2 | 105 | | | 1.4 | | | 106 | | | 1.4 | 150 | 2 | 2 | 127 | | | 4.7 | | | 126 | | | 4.5 | 200 | 2 | 2 | 93 | | | 7.2 | | | 91 | | | 7.0 | 300 | 2 | 2 | 84 | | | 20.3 | | | 85 | | | 20.2 |
| , , | 50 | 2 | 2 | 84 | | | 0.2 | | | 85 | | | 0.2 | 100 | 2 | 2 | 79 | | | 1.2 | | | 76 | | | 1.1 | 150 | 2 | 2 | 82 | | | 3.6 | | | 81 | | | 3.4 | 200 | 2 | 2 | 84 | | | 7.3 | | | 83 | | | 7.1 | 300 | 2 | 2 | 91 | | | 22.8 | | | 90 | | | 22.5 |
| , , | 50 | 2 | 2 | 99 | | | 0.3 | | | 101 | | | 0.3 | 100 | 2 | 2 | 83 | | | 1.4 | | | 81 | | | 1.3 | 150 | 2 | 2 | 86 | | | 3.8 | | | 84 | | | 3.7 | 200 | 2 | 2 | 91 | | | 8.5 | | | 90 | | | 8.4 | 300 | 2 | 2 | 115 | | | 30.8 | | | 116 | | | 29.0 |
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