Matrices.householderReflection(A,u);
This function computes the Householder reflection (transformation)
Ar = Q*Awith
Q = I -2*u*u'/(u'*u)
where u is Householder vector, i.e., the normal vector of the reflection plane.
Householder reflection is widely used in numerical linear algebra, e.g., to perform QR decompositions.
// First step of QR decomposition
import Modelica.Math.Vectors.Utilities;
Real A[3,3] = [1,2,3;
3,4,5;
2,1,4];
Real Ar[3,3];
Real u[:];
u=Utilities.householderVector(A[:,1],{1,0,0});
// u= {0.763, 0.646, 0}
Ar=householderReflection(A,u);
// Ar = [-6.0828, -5.2608, -4.4388;
// 0.0, -1.1508, -2.3016;
// 0.0, 2.0, 0.0]
Matrices.Utilities.housholderSimilarityTransformation,
Vectors.Utilities.householderReflection,
Vectors.Utilities.householderVector
function householderReflection extends Modelica.Icons.Function; import Modelica.Math.Vectors; input Real A[:, :] "Rectangular matrix"; input Real u[size(A, 1)] "Householder vector"; output Real RA[size(A, 1), size(A, 2)] "Reflexion of A"; end householderReflection;