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Sparsity-constrained Optimization on colon-cancer

0.01CPU EfficiencyAPG
-0.241.44753.1354.8225Nov 4, 2022

Evaluation results

MethodLinks
APGSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.110.01501.125
APG+Sparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.110.01501.125
APG-LL+Sparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.110.011001.125
APG+Sparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.110.01830.645
APG-LL+Sparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.110.011620.646
APG+Sparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.110.0110100.599
APG-LL+Sparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.110.0124100.599
APG+Sparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.110.0218271.345
APG-LL+Sparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.110.0261311.723
APGSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.110.1332000.599
APGSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.110.1418500.645
PG-LLSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.110.1976800.645
PG-LLSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.110.2166401.125
PGSparsity level (s)=0.01m, Tolerance (epsilon)=10^-62022.110.442,08101.125
PG-LLSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.110.522,99000.656
PGSparsity level (s)=0.05m, Tolerance (epsilon)=10^-62022.110.773,16200.645
APGSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.111.483,26802.461
PGSparsity level (s)=0.1m, Tolerance (epsilon)=10^-62022.111.596,95100.652
PGSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.112.5110,00001.855
PG-LLSparsity level (s)=0.5m, Tolerance (epsilon)=10^-62022.116.2620,00001.895