Documentation API of the 'cern.colt.matrix.linalg.SingularValueDecomposition' Java class
SingularValueDecomposition
cern.colt.matrix.linalg

Class SingularValueDecomposition

  • All Implemented Interfaces:
    Serializable


    public class SingularValueDecompositionextends Objectimplements Serializable
    For an m x n matrix A with m >= n, the singular value decomposition isan m x n orthogonal matrix U, an n x n diagonal matrix S, andan n x n orthogonal matrix V so that A = U*S*V'.

    The singular values, sigma[k] = S[k][k], are ordered so thatsigma[0] >= sigma[1] >= ... >= sigma[n-1].

    The singular value decomposition always exists, so the constructor willnever fail. The matrix condition number and the effective numericalrank can be computed from this decomposition.

    See Also:
    Serialized Form

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