Sparsity-constrained Optimization on duke
0.01CPU TimeAPG
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| APGSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 5 | 0 | 1.581 | |
| APG+Sparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 5 | 0 | 1.581 | |
| APG-LL+Sparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 10 | 0 | 1.581 | |
| APGSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 8 | 0 | 1.14 | |
| APG+Sparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 8 | 2 | 1.14 | |
| APG-LL+Sparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 16 | 2 | 1.14 | |
| APG+Sparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 9 | 5 | 0.882 | |
| APG+Sparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 11 | 14 | 1.06 | |
| APG-LL+Sparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 28 | 14 | 1.06 | |
| APG+Sparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 13 | 58 | 0.209 | |
| APG+Sparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 0.01 | 11 | 39 | 2.061 | |
| APG-LL+Sparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 0.01 | 58 | 44 | 0.831 | |
| APG+Sparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 0.01 | 13 | 40 | 0.259 | |
| APG+Sparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 12 | 33 | 0.564 | |
| APGSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.02 | 23 | 0 | 0.882 | |
| APG-LL+Sparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.02 | 19 | 5 | 0.882 | |
| APG-LL+Sparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 0.02 | 101 | 87 | 6.685 | |
| APG-LL+Sparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 0.02 | 48 | 34 | 0.308 | |
| APG-LL+Sparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 0.02 | 47 | 33 | 0.564 | |
| PG-LLSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.19 | 382 | 0 | 1.579 | |
| APGSparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 0.51 | 687 | 0 | 0.301 | |
| PG-LLSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.75 | 1,514 | 0 | 1.141 | |
| PG-LLSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.84 | 1,670 | 0 | 0.88 | |
| APGSparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 0.84 | 1,162 | 0 | 0.271 | |
| PG-LLSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 1.05 | 2,284 | 0 | 1.089 | |
| APGSparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 1.24 | 1,631 | 0 | 0.505 | |
| APGSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 1.26 | 1,749 | 0 | 0.569 | |
| APGSparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 1.42 | 1,945 | 0 | 1.531 | |
| PG-LLSparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 1.47 | 3,104 | 0 | 0.281 | |
| PG-LLSparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 1.49 | 2,990 | 0 | 0.539 | |
| PG-LLSparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 1.79 | 3,740 | 0 | 0.373 | |
| PG-LLSparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 1.8 | 3,782 | 0 | 0.635 | |
| PGSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 4.07 | 10,000 | 0 | 1.568 | |
| PGSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 4.18 | 10,000 | 0 | 1.145 | |
| PGSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 4.18 | 10,000 | 0 | 0.864 | |
| PGSparsity level (s)=m, Tolerance (epsilon)=10^-62022.11 | 4.18 | 10,000 | 0 | 0.554 | |
| PGSparsity level (s)=[1.1m], Tolerance (epsilon)=10^-62022.11 | 4.25 | 10,000 | 0 | 0.549 | |
| PGSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 4.28 | 10,000 | 0 | 0.86 | |
| PGSparsity level (s)=2m, Tolerance (epsilon)=10^-62022.11 | 4.28 | 10,000 | 0 | 0.333 | |
| PGSparsity level (s)=[1.5m], Tolerance (epsilon)=10^-62022.11 | 4.3 | 10,000 | 0 | 0.392 |