public static Vector Danilevsky_Values(Matrix val, double e = 0.001)
{
Danilevsky dan = new Danilevsky(val);
Console.WriteLine("Q=" + dan.Q);
double temp = 0;
Vector eigenvalues = new Vector(val.ColumnCount);
Vector I = new Vector(Intervals(val, dan.Q));
for (int i = 0; i < val.ColumnCount; i++)
{
temp = method_bisection(dan.Q, I[i], I[i + 1], e);
eigenvalues[i] = temp;
}
return eigenvalues;
}
public Matrix Danilevsky_Vectors(Matrix val)
{
Matrix A = new Matrix(val);
Danilevsky dan = new Danilevsky(A);
Matrix Y = new Matrix(val.RowCount, val.ColumnCount);
Matrix T = dan.S;
Vector R = new Vector(val.RowCount);
R = Danilevsky_Values(dan.A);
for (int i = 0; i < val.ColumnCount; i++)
{
for (int j = 0; j < val.RowCount; j++)
{
Y[val.RowCount - 1 - j, i] = Math.Pow(R[i], j);
}
}
A = T * Y;
double a = 0;
for (int i = 0; i < val.ColumnCount; i++)
{
a = MathM.vect_norm_2(A.Get_column(i));
for (int j = 0; j < val.RowCount; j++)
{
A[j, i] /= a;
}
}
return A;
}
