Sparsity-constrained Optimization on colon-cancer
0.01CPU EfficiencyAPG
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| APGSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 5 | 0 | 1.125 | |
| APG+Sparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 5 | 0 | 1.125 | |
| APG-LL+Sparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 10 | 0 | 1.125 | |
| APG+Sparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 8 | 3 | 0.645 | |
| APG-LL+Sparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 16 | 2 | 0.646 | |
| APG+Sparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 10 | 10 | 0.599 | |
| APG-LL+Sparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.01 | 24 | 10 | 0.599 | |
| APG+Sparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 0.02 | 18 | 27 | 1.345 | |
| APG-LL+Sparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 0.02 | 61 | 31 | 1.723 | |
| APGSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.13 | 320 | 0 | 0.599 | |
| APGSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.14 | 185 | 0 | 0.645 | |
| PG-LLSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.19 | 768 | 0 | 0.645 | |
| PG-LLSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.21 | 664 | 0 | 1.125 | |
| PGSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.11 | 0.44 | 2,081 | 0 | 1.125 | |
| PG-LLSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 0.52 | 2,990 | 0 | 0.656 | |
| PGSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.11 | 0.77 | 3,162 | 0 | 0.645 | |
| APGSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 1.48 | 3,268 | 0 | 2.461 | |
| PGSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.11 | 1.59 | 6,951 | 0 | 0.652 | |
| PGSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 2.51 | 10,000 | 0 | 1.855 | |
| PG-LLSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.11 | 6.26 | 20,000 | 0 | 1.895 |