Sparsity-constrained Optimization on leukemia
0.01CPU CostAPG
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| APGSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 5 | 0 | 0.595 | |
| APG+Sparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 5 | 0 | 0.595 | |
| APG-LL+Sparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 10 | 0 | 0.595 | |
| APGSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 8 | 0 | 0.566 | |
| APG+Sparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 8 | 2 | 0.566 | |
| APG-LL+Sparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 16 | 2 | 0.566 | |
| APG+Sparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 9 | 5 | 0.524 | |
| APG-LL+Sparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 19 | 5 | 0.524 | |
| APG+Sparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 10 | 16 | 1.676 | |
| APG-LL+Sparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 30 | 16 | 1.676 | |
| PG-LLSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.14 | 302 | 0 | 0.595 | |
| APGSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 0.63 | 876 | 0 | 1.277 | |
| PG-LLSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.77 | 1,632 | 0 | 0.566 | |
| PG-LLSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.93 | 1,966 | 0 | 0.524 | |
| APGSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.99 | 1,263 | 0 | 0.524 | |
| PGSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 2.8 | 6,726 | 0 | 0.566 | |
| PGSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 3.67 | 8,768 | 0 | 0.595 | |
| PGSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 4.35 | 10,000 | 0 | 0.523 | |
| PGSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 4.47 | 10,000 | 0 | 0.582 | |
| PG-LLSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 9.79 | 20,000 | 0 | 1.226 |