//preferred for nominal
public VariableDescriptor(
string feature_name,
DataLevel feature_level,
Dictionary <string, int> feature_value_levels)
: this(feature_name, feature_level, ToolsCollection.ConvertToArray1D(feature_value_levels))
{
}
public void SolverLinearGMRESMathNetTrivial0()
{
SolverLinearGMRESMathNet gmres = new SolverLinearGMRESMathNet();
double[,] a = new double[5, 5];
a[0, 0] = 1;
a[1, 1] = 2;
a[2, 2] = 3;
a[3, 3] = 4;
a[4, 4] = 5;
Matrix <double> A = new DenseMatrix(5, 5, ToolsCollection.ConvertToArray1D(a));
Vector <double> x0 = new DenseVector(new double[5]);
Vector <double> b = new DenseVector(new double[] { 1, 2, 3, 4, 5 });
SolverLinearResult result = gmres.Solve(A, b, x0, 4);
Assert.AreEqual(0.9203, result.SolutionList[4][0], 0.001);
Assert.AreEqual(1.0399, result.SolutionList[4][1], 0.001);
Assert.AreEqual(0.9823, result.SolutionList[4][2], 0.001);
Assert.AreEqual(1.0050, result.SolutionList[4][3], 0.001);
Assert.AreEqual(0.9994, result.SolutionList[4][4], 0.001);
//[~, solutions, ~, ~] = gmres_simple(A, b, x0, 4, 1)
//0 0 0 0 0 d
//0.2298 0.4597 0.6895 0.9193 1.1491
//0.4897 0.8318 1.0262 1.0729 0.9719
//0.7346 1.0209 1.0404 0.9747 1.0050
//0.9203 1.0399 0.9823 1.0050 0.9994
}
public AMatrix <Matrix <double> > Create(IList <double> operant_0, bool transpose = false)
{
if (transpose)
{
return(new MatrixMathNet(new DenseMatrix(operant_0.Count, 1, ToolsCollection.ConvertToArray1D(operant_0))));
}
else
{
return(new MatrixMathNet(new DenseMatrix(1, operant_0.Count, ToolsCollection.ConvertToArray1D(operant_0))));
}
}
public AMatrix <Matrix <double> > Create(double[,] operant_0)
{
return(new MatrixMathNet(new DenseMatrix(operant_0.GetLength(0), operant_0.GetLength(1), ToolsCollection.ConvertToArray1D(operant_0, true))));
}
public static double MedianAll(IList <IList <double> > list_list)
{
return(Quantile(ToolsCollection.ConvertToArray1D(list_list), 0.5f));
}
