ResearchBenchmarksSparse Linear Regression on Simulated Sparse Linear Regression InstancesFollow0Relative Upper Bound DifferenceGoemans-Williamson rounding-1.367.821726.18Oct 20, 2015Evaluation ResultsMethodMethodLinksRelative Upper Bound DifferenceGoemans-Williamson roundinglambda=0.1, mu=0.5lambda=0.1, mu=0.52015.100Goemans-Williamson roundinglambda=0.2, mu=0.5lambda=0.2, mu=0.52015.100Goemans-Williamson roundinglambda=0.3, mu=0.4lambda=0.3, mu=0.42015.100Goemans-Williamson roundinglambda=0.3, mu=0.5lambda=0.3, mu=0.52015.100Goemans-Williamson roundinglambda=0.4, mu=0.5lambda=0.4, mu=0.52015.100Goemans-Williamson roundinglambda=0.5, mu=0.4lambda=0.5, mu=0.42015.100Goemans-Williamson roundinglambda=0.5, mu=0.5lambda=0.5, mu=0.52015.100Goemans-Williamson roundinglambda=0.1, mu=0.4lambda=0.1, mu=0.42015.101Goemans-Williamson roundinglambda=0.2, mu=0.4lambda=0.2, mu=0.42015.101Goemans-Williamson roundinglambda=0.4, mu=0.4lambda=0.4, mu=0.42015.101Goemans-Williamson roundinglambda=0.1, mu=0.3lambda=0.1, mu=0.32015.102Goemans-Williamson roundinglambda=0.2, mu=0.3lambda=0.2, mu=0.32015.102Goemans-Williamson roundinglambda=0.4, mu=0.2lambda=0.4, mu=0.22015.103Goemans-Williamson roundinglambda=0.4, mu=0.3lambda=0.4, mu=0.32015.103Goemans-Williamson roundinglambda=0.5, mu=0.3lambda=0.5, mu=0.32015.103Goemans-Williamson roundinglambda=0.3, mu=0.3lambda=0.3, mu=0.32015.106Goemans-Williamson roundinglambda=0.1, mu=0.2lambda=0.1, mu=0.22015.107Goemans-Williamson roundinglambda=0.5, mu=0.2lambda=0.5, mu=0.22015.109Goemans-Williamson roundinglambda=0.2, mu=0.2lambda=0.2, mu=0.22015.1013Goemans-Williamson roundinglambda=0.3, mu=0.2lambda=0.3, mu=0.22015.1014Goemans-Williamson roundinglambda=0.5, mu=0.1lambda=0.5, mu=0.12015.1020Goemans-Williamson roundinglambda=0.1, mu=0.1lambda=0.1, mu=0.12015.1021Goemans-Williamson roundinglambda=0.2, mu=0.1lambda=0.2, mu=0.12015.1028Goemans-Williamson roundinglambda=0.3, mu=0.1lambda=0.3, mu=0.12015.1030Goemans-Williamson roundinglambda=0.4, mu=0.1lambda=0.4, mu=0.12015.1034