Public ReadOnly Property VH As Matrix

public Matrix VH {get;}

public:
property Matrix^ VH {
   Matrix^ get();
}

Property Value

The Singular Value Decomposition (SVD) of a mxn matrix A is written A = U*S*V^H where S is an nxn (mxn if m<n) matrix which is zero except for its min(m,n) diagonal elements, U is an mxn (mxm if m<n) orthogonal/unitary matrix, and V is an nxn orthogonal/unitary matrix.

The diagonal elements of S are the singular values of A; they are real and non-negative, and are returned in descending order.

The first min(m,n) columns of U and V are the left and right singular vectors of A.

Reference