Class FloatSVDecomp represents the singular value decomposition (SVD) of a matrix.Namespace: CenterSpace.NMath.Matrix
Assembly: NMathPremium (in NMathPremium.dll) Version: 184.108.40.206
The singular value decomposition is a representation of a matrix A of the form:
where U and V are orthogonal, S is diagonal, and V' denotes the transpose of the matrix V. The entries along the diagonal of S are the singular values. The columns of U are the left singular vectors, and the columns of V are the right singular vectors. By default, the reduced singular value decomposition and all singular vectors are computed. If you want the full singular value decomposition, or just the singular values computed, use class DoubleSVDecompServer.
A = USV'