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Changeset 17678


Ignore:
Timestamp:
07/17/20 17:44:14 (4 years ago)
Author:
gkronber
Message:

#3075: changed title for noise part

Location:
branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman
Files:
120 edited

Legend:

Unmodified
Added
Removed

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman1.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.6.20a exp(-theta**2/2)/sqrt(2*pi) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.6.20a exp(-theta**2/2)/sqrt(2*pi) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman10.cs

    r17677 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.12.4 q1/(4*pi*epsilon*r**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.12.4 q1/(4*pi*epsilon*r**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman100.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.21.20 -rho_c_0*q*A_vec/m | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.21.20 -rho_c_0*q*A_vec/m | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman11.cs

    r17677 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.12.5 q2*Ef | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.12.5 q2*Ef | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman12.cs

    r17677 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.12.11 q*(Ef + B*v*sin(theta)) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.12.11 q*(Ef + B*v*sin(theta)) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman13.cs

    r17677 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.13.4 1/2*m*(v**2+u**2+w**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.13.4 1/2*m*(v**2+u**2+w**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman14.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.13.12 G*m1*m2*(1/r2-1/r1) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.13.12 G*m1*m2*(1/r2-1/r1) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman15.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.14.3 m*g*z | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.14.3 m*g*z | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman16.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.14.4 1/2*k_spring*x**2 | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.14.4 1/2*k_spring*x**2 | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman17.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.15.3x (x-u*t)/sqrt(1-u**2/c**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.15.3x (x-u*t)/sqrt(1-u**2/c**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman18.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.15.3t (t-u*x/c**2)/sqrt(1-u**2/c**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.15.3t (t-u*x/c**2)/sqrt(1-u**2/c**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman19.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.15.10 m_0*v/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.15.10 m_0*v/sqrt(1-v**2/c**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman2.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.6.20 exp(-(theta/sigma)**2/2)/(sqrt(2*pi)*sigma) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.6.20 exp(-(theta/sigma)**2/2)/(sqrt(2*pi)*sigma) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman20.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.16.6 (u+v)/(1+u*v/c**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.16.6 (u+v)/(1+u*v/c**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman21.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.18.4 (m1*r1 + m2*r2)/(m1 + m2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.18.4 (m1*r1 + m2*r2)/(m1 + m2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman22.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.18.12 r*F*sin(theta) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.18.12 r*F*sin(theta) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman23.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.18.16 m*r*v*sin(theta) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.18.16 m*r*v*sin(theta) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman24.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.24.6 1/4*m*(omega**2 + omega_0**2)*x**2 | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.24.6 1/4*m*(omega**2 + omega_0**2)*x**2 | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman25.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.25.13 q/C | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.25.13 q/C | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman26.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.26.2 arcsin(n*sin(theta2)) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.26.2 arcsin(n*sin(theta2)) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman27.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.27.6 1/(1/d1+n/d2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.27.6 1/(1/d1+n/d2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman28.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.29.4 omega/c | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.29.4 omega/c | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman29.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.29.16 sqrt(x1**2+x2**2 - 2*x1*x2*cos(theta1 - theta2)) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.29.16 sqrt(x1**2+x2**2 - 2*x1*x2*cos(theta1 - theta2)) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman3.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "I.6.20b exp(-((theta-theta1)/sigma)**2/2)/(sqrt(2*pi)*sigma) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "I.6.20b exp(-((theta-theta1)/sigma)**2/2)/(sqrt(2*pi)*sigma) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman30.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.30.3 Int_0*sin(n*theta/2)**2/sin(theta/2)**2 | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.30.3 Int_0*sin(n*theta/2)**2/sin(theta/2)**2 | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman31.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.30.5 arcsin(lambd/(n*d)) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.30.5 arcsin(lambd/(n*d)) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman32.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.32.5 q**2*a**2/(6*pi*epsilon*c**3) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.32.5 q**2*a**2/(6*pi*epsilon*c**3) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman33.cs

    r17671 r17678  
    2929      get {
    3030        return string.Format(
    31           "I.32.17 (1/2*epsilon*c*Ef**2)*(8*pi*r**2/3)*(omega**4/(omega**2-omega_0**2)**2) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "I.32.17 (1/2*epsilon*c*Ef**2)*(8*pi*r**2/3)*(omega**4/(omega**2-omega_0**2)**2) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman34.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.34.8 q*v*B/p | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.34.8 q*v*B/p | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman35.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.34.10 omega_0/(1-v/c) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.34.10 omega_0/(1-v/c) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman36.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.34.14 (1+v/c)/sqrt(1-v**2/c**2)*omega_0 | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.34.14 (1+v/c)/sqrt(1-v**2/c**2)*omega_0 | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman37.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.34.27 h*omega | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.34.27 h*omega | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman38.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.37.4 I1 + I2 + 2*sqrt(I1*I2)*cos(delta) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.37.4 I1 + I2 + 2*sqrt(I1*I2)*cos(delta) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman39.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.38.12 4*pi*epsilon*h**2/(m*q**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.38.12 4*pi*epsilon*h**2/(m*q**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman4.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.8.14 sqrt((x2-x1)**2+(y2-y1)**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.8.14 sqrt((x2-x1)**2+(y2-y1)**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman40.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.39.10 3/2*pF*V | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.39.10 3/2*pF*V | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman41.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.39.11 1/(gamma-1)*pF*V | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.39.11 1/(gamma-1)*pF*V | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman42.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.39.22 n*kb*T/V | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.39.22 n*kb*T/V | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman43.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.40.1 n_0*exp(-m*g*x/(kb*T)) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.40.1 n_0*exp(-m*g*x/(kb*T)) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman44.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "I.41.16 h*omega**3/(pi**2 * c**2 * (exp(h*omega/(kb*T))-1)) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "I.41.16 h*omega**3/(pi**2 * c**2 * (exp(h*omega/(kb*T))-1)) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman45.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.43.16 mu_drift*q*Volt/d | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.43.16 mu_drift*q*Volt/d | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman46.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.43.31 mob*kb*T | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.43.31 mob*kb*T | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman47.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.43.43 1/(gamma-1)*kb*v/A | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.43.43 1/(gamma-1)*kb*v/A | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman48.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.44.4 n*kb*T*ln(V2/V1) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.44.4 n*kb*T*ln(V2/V1) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman49.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.47.23 sqrt(gamma*pr/rho) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.47.23 sqrt(gamma*pr/rho) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman5.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.9.18 G*m1*m2/((x2-x1)**2+(y2-y1)**2+(z2-z1)**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.9.18 G*m1*m2/((x2-x1)**2+(y2-y1)**2+(z2-z1)**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman50.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.48.2 m*c**2/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.48.2 m*c**2/sqrt(1-v**2/c**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman51.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.50.26 x1*(cos(omega*t)+alpha*cos(omega*t)**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.50.26 x1*(cos(omega*t)+alpha*cos(omega*t)**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman52.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.2.42 kappa*(T2-T1)*A/d | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.2.42 kappa*(T2-T1)*A/d | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman53.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.3.24 Pwr/(4*pi*r**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.3.24 Pwr/(4*pi*r**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman54.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.4.23 q/(4*pi*epsilon*r) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.4.23 q/(4*pi*epsilon*r) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman55.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.6.11 1/(4*pi*epsilon)*p_d*cos(theta)/r**2 | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.6.11 1/(4*pi*epsilon)*p_d*cos(theta)/r**2 | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman56.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.6.15a 3/(4*pi*epsilon)*p_d*z/r**5*sqrt(x**2+y**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.6.15a 3/(4*pi*epsilon)*p_d*z/r**5*sqrt(x**2+y**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman57.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "II.6.15b 3/(4*pi*epsilon)*p_d/r**3*cos(theta)*sin(theta) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "II.6.15b 3/(4*pi*epsilon)*p_d/r**3*cos(theta)*sin(theta) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman58.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.8.7 3/5*q**2/(4*pi*epsilon*d) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.8.7 3/5*q**2/(4*pi*epsilon*d) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman59.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.8.31 epsilon*Ef**2/2 | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.8.31 epsilon*Ef**2/2 | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman6.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.10.7 m_0/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.10.7 m_0/sqrt(1-v**2/c**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman60.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.10.9 sigma_den/epsilon*1/(1+chi) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.10.9 sigma_den/epsilon*1/(1+chi) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman61.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.11.3 q*Ef/(m*(omega_0**2-omega**2)) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.11.3 q*Ef/(m*(omega_0**2-omega**2)) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman62.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.11.17 n_0*(1 + p_d*Ef*cos(theta)/(kb*T)) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.11.17 n_0*(1 + p_d*Ef*cos(theta)/(kb*T)) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman63.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.11.20 n_rho*p_d**2*Ef/(3*kb*T) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.11.20 n_rho*p_d**2*Ef/(3*kb*T) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman64.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.11.27 n*alpha/(1-(n*alpha/3))*epsilon*Ef | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.11.27 n*alpha/(1-(n*alpha/3))*epsilon*Ef | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman65.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.11.28 1+n*alpha/(1-(n*alpha/3)) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.11.28 1+n*alpha/(1-(n*alpha/3)) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman66.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.13.17 1/(4*pi*epsilon*c**2)*2*I/r | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.13.17 1/(4*pi*epsilon*c**2)*2*I/r | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman67.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.13.23 rho_c_0/sqrt(1-v**2/c**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.13.23 rho_c_0/sqrt(1-v**2/c**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman68.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.13.34 rho_c_0*v/sqrt(1-v**2/c**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.13.34 rho_c_0*v/sqrt(1-v**2/c**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman69.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.15.4 -mom*B*cos(theta) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.15.4 -mom*B*cos(theta) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman7.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.11.19 x1*y1+x2*y2+x3*y3 | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.11.19 x1*y1+x2*y2+x3*y3 | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman70.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.15.5 -p_d*Ef*cos(theta) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.15.5 -p_d*Ef*cos(theta) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman71.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.21.32 q/(4*pi*epsilon*r*(1-v/c)) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.21.32 q/(4*pi*epsilon*r*(1-v/c)) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman72.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.24.17 sqrt(omega**2/c**2-pi**2/d**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.24.17 sqrt(omega**2/c**2-pi**2/d**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman73.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.27.16 epsilon*c*Ef**2 | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.27.16 epsilon*c*Ef**2 | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman74.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.27.18 epsilon*Ef**2 | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.27.18 epsilon*Ef**2 | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman75.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.34.2a q*v/(2*pi*r) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.34.2a q*v/(2*pi*r) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman76.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.34.2 q*v*r/2 | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.34.2 q*v*r/2 | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman77.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.34.11 g_*q*B/(2*m) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.34.11 g_*q*B/(2*m) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman78.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.34.29a q*h/(4*pi*m) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.34.29a q*h/(4*pi*m) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman79.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.34.29b g_*mom*B*Jz/h | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.34.29b g_*mom*B*Jz/h | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman8.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.12.1 mu*Nn | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.12.1 mu*Nn | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman80.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.35.18 n_0/(exp(mom*B/(kb*T))+exp(-mom*B/(kb*T))) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.35.18 n_0/(exp(mom*B/(kb*T))+exp(-mom*B/(kb*T))) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman81.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.35.21 n_rho*mom*tanh(mom*B/(kb*T)) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.35.21 n_rho*mom*tanh(mom*B/(kb*T)) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman82.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "II.36.38 mom*B/(kb*T)+(mom*alpha*M)/(epsilon*c**2*kb*T) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "II.36.38 mom*B/(kb*T)+(mom*alpha*M)/(epsilon*c**2*kb*T) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman83.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.37.1 mom*(1+chi)*B | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.37.1 mom*(1+chi)*B | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman84.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.38.3 Y*A*x/d | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.38.3 Y*A*x/d | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman85.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("II.38.14 Y/(2*(1+sigma)) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("II.38.14 Y/(2*(1+sigma)) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman86.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.4.32 1/(exp(h*omega/(kb*T))-1) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.4.32 1/(exp(h*omega/(kb*T))-1) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman87.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "III.4.33 h*omega/(exp(h*omega/(kb*T))-1) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "III.4.33 h*omega/(exp(h*omega/(kb*T))-1) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman88.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.7.38 2*mom*B/h | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.7.38 2*mom*B/h | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman89.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.8.54 sin(E_n*t/h)**2 | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.8.54 sin(E_n*t/h)**2 | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman9.cs

    r17677 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("I.12.2 q1*q2/(4*pi*epsilon*r**2) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("I.12.2 q1*q2/(4*pi*epsilon*r**2) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman90.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "III.9.52 (p_d*Ef*t/h*sin((omega-omega_0)*t/2)**2/((omega-omega_0)*t/2)**2 | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "III.9.52 (p_d*Ef*t/h*sin((omega-omega_0)*t/2)**2/((omega-omega_0)*t/2)**2 | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman91.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.10.19 mom*sqrt(Bx**2+By**2+Bz**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.10.19 mom*sqrt(Bx**2+By**2+Bz**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman92.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.12.43 n*h | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.12.43 n*h | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman93.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.13.18 2*E_n*d**2*k/h | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.13.18 2*E_n*d**2*k/h | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman94.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.14.14 I_0*(exp(q*Volt/(kb*T))-1) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.14.14 I_0*(exp(q*Volt/(kb*T))-1) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman95.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.15.12 2*U*(1-cos(k*d)) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.15.12 2*U*(1-cos(k*d)) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman96.cs

    r17674 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.15.14 h**2/(2*E_n*d**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.15.14 h**2/(2*E_n*d**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman97.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.15.27 2*pi*alpha/(n*d) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.15.27 2*pi*alpha/(n*d) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman98.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.17.37 beta*(1+alpha*cos(theta)) | {0} samples | noise ({1})", trainingSamples,
    31           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("III.17.37 beta*(1+alpha*cos(theta)) | {0} samples | {1}", trainingSamples,
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/Feynman99.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "III.19.51 -m*q**4/(2*(4*pi*epsilon)**2*h**2)*(1/n**2) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "III.19.51 -m*q**4/(2*(4*pi*epsilon)**2*h**2)*(1/n**2) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus1.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "Rutherford scattering: (Z_1*Z_2*alpha*hbar*c/(4*E_n*sin(theta/2)**2))**2 | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Rutherford scattering: (Z_1*Z_2*alpha*hbar*c/(4*E_n*sin(theta/2)**2))**2 | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus10.cs

    r17677 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("Goldstein 3.74: 2*pi*d**(3/2)/sqrt(G*(m1+m2)) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("Goldstein 3.74: 2*pi*d**(3/2)/sqrt(G*(m1+m2)) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus11.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Goldstein 3.99: sqrt(1+2*epsilon**2*E_n*L**2/(m*(Z_1*Z_2*q**2)**2)) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Goldstein 3.99: sqrt(1+2*epsilon**2*E_n*L**2/(m*(Z_1*Z_2*q**2)**2)) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus12.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Goldstein 8.56: sqrt((p-q*A_vec)**2*c**2+m**2*c**4)+q*Volt | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Goldstein 8.56: sqrt((p-q*A_vec)**2*c**2+m**2*c**4)+q*Volt | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus13.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Goldstein 12.80: 1/(2*m)*(p**2+m**2*omega**2*x**2*(1+alpha*x/y)) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Goldstein 12.80: 1/(2*m)*(p**2+m**2*omega**2*x**2*(1+alpha*x/y)) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus14.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Jackson 2.11: q/(4*pi*epsilon*y**2)*(4*pi*epsilon*Volt*d-q*d*y**3/(y**2-d**2)**2) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Jackson 2.11: q/(4*pi*epsilon*y**2)*(4*pi*epsilon*Volt*d-q*d*y**3/(y**2-d**2)**2) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus15.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Jackson 3.45: q/sqrt(r**2+d**2-2*r*d*cos(alpha)) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Jackson 3.45: q/sqrt(r**2+d**2-2*r*d*cos(alpha)) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus16.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Jackson 4.60: Ef*cos(theta)*((alpha-1)/(alpha+2)*d**3/r**2-r) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Jackson 4.60: Ef*cos(theta)*((alpha-1)/(alpha+2)*d**3/r**2-r) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus17.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Jackson 11.38: sqrt(1-v**2/c**2)*omega/(1+v/c*cos(theta)) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Jackson 11.38: sqrt(1-v**2/c**2)*omega/(1+v/c*cos(theta)) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus18.cs

    r17671 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("Weinberg 15.2.1: 3/(8*pi*G)*(c**2*k_f/r**2+H_G**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("Weinberg 15.2.1: 3/(8*pi*G)*(c**2*k_f/r**2+H_G**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus19.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "Weinberg 15.2.2: -1/(8*pi*G)*(c**4*k_f/r**2 + c**2*H_G**2*(1-2*alpha)) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Weinberg 15.2.2: -1/(8*pi*G)*(c**4*k_f/r**2 + c**2*H_G**2*(1-2*alpha)) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus2.cs

    r17677 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("Friedman Equation: sqrt(8*pi*G*rho/3-alpha*c**2/d**2) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("Friedman Equation: sqrt(8*pi*G*rho/3-alpha*c**2/d**2) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus20.cs

    r17674 r17678  
    2929      get {
    3030        return string.Format(
    31           "Schwarz 13.132 (Klein-Nishina): pi*alpha**2*h**2/(m**2*c**2)*(omega_0/omega)**2*(omega_0/omega+omega/omega_0-sin(beta)**2) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Schwarz 13.132 (Klein-Nishina): pi*alpha**2*h**2/(m**2*c**2)*(omega_0/omega)**2*(omega_0/omega+omega/omega_0-sin(beta)**2) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus3.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Compton Scattering: E_n/(1+E_n/(m*c**2)*(1-cos(theta))) | {0} samples | noise ({1})", trainingSamples,
    32           noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Compton Scattering: E_n/(1+E_n/(m*c**2)*(1-cos(theta))) | {0} samples | {1}", trainingSamples,
     32          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus4.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Radiated gravitational wave power: -32/5*G**4/c**5*(m1*m2)**2*(m1+m2)/r**5 | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Radiated gravitational wave power: -32/5*G**4/c**5*(m1*m2)**2*(m1+m2)/r**5 | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus5.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Relativistic aberation: arccos((cos(theta2)-v/c)/(1-v/c*cos(theta2))) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Relativistic aberation: arccos((cos(theta2)-v/c)/(1-v/c*cos(theta2))) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus6.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "N-slit diffraction: I_0*(sin(alpha/2)*sin(n*delta/2)/(alpha/2*sin(delta/2)))**2 | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "N-slit diffraction: I_0*(sin(alpha/2)*sin(n*delta/2)/(alpha/2*sin(delta/2)))**2 | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus7.cs

    r17677 r17678  
    2828    public override string Name {
    2929      get {
    30         return string.Format("Goldstein 3.16: sqrt(2/m*(E_n-U-L**2/(2*m*r**2))) | {0} samples | noise ({1})",
    31           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     30        return string.Format("Goldstein 3.16: sqrt(2/m*(E_n-U-L**2/(2*m*r**2))) | {0} samples | {1}",
     31          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus8.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Goldstein 3.55: m*k_G/L**2*(1+sqrt(1+2*E_n*L**2/(m*k_G**2))*cos(theta1-theta2)) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Goldstein 3.55: m*k_G/L**2*(1+sqrt(1+2*E_n*L**2/(m*k_G**2))*cos(theta1-theta2)) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }

  • branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus9.cs

    r17677 r17678  
    2929      get {
    3030        return string.Format(
    31           "Goldstein 3.64: d*(1-alpha**2)/(1+alpha*cos(theta1-theta2)) | {0} samples | noise ({1})",
    32           trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
     31          "Goldstein 3.64: d*(1-alpha**2)/(1+alpha*cos(theta1-theta2)) | {0} samples | {1}",
     32          trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }
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