public static double NormalApproxCmax(Schedule S)
{
return(-RobustnessMeasures.NormalBasedEstimatedCmax(S, 0.3).Mean);
}
public void Calculate(Schedule S)
{
double _GAMMA = Settings.RM_UFSandBFS_fraction;
switch (Name)
{
case "FS":
Value = RobustnessMeasures.SoFS(S);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "BFS":
Value = RobustnessMeasures.SoBFS(S, _GAMMA);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "UFS":
Value = RobustnessMeasures.SoUFS(S, _GAMMA);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "wUFS":
Value = RobustnessMeasures.SowUFS(S, _GAMMA);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "wFS":
Value = RobustnessMeasures.SowFS(S);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "TS":
Value = RobustnessMeasures.SoTS(S);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "BTS":
Value = RobustnessMeasures.SoBTS(S, _GAMMA);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "UTS":
Value = RobustnessMeasures.SoUTS(S, _GAMMA);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "wTS":
Value = RobustnessMeasures.SowTS(S);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "wUTS":
Value = RobustnessMeasures.SowUTS(S, _GAMMA);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "SDR":
Value = RobustnessMeasures.SoSDR(S);
if (Settings.RMs_USE_MEANS)
{
Value = Value / S.PrecedenceDAG.N;
}
break;
case "DetCmax":
Value = S.EstimateCmax();
break;
case "NormalApproxCmax":
Value = RobustnessMeasures.NormalBasedEstimatedCmax(S, 0.3 * 0.3).Mean;
break;
case "NormalApprox2Sigma":
Distribution NormalEstimation = RobustnessMeasures.NormalBasedEstimatedCmax(S, 0.3 * 0.3);
Value = NormalEstimation.Mean + 2 * Math.Sqrt(NormalEstimation.Variation);
break;
default:
throw new Exception("RM name not recognized");
break;
}
}
