scalation.linalgebra

SVD_2by2

Related Doc: package linalgebra

class SVD_2by2 extends SVDecomp

The SVD_2by2 is used to solve Singular Value Decomposition for bidiagonal 2-by-2 matrices.

[ f g ] [ 0 h ]

See also

fortranwiki.org/fortran/show/svd

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Instance Constructors

  1. new SVD_2by2(f: Double, g: Double, h: Double)

    f

    the first diagonal element

    g

    the superdiagonal element

    h

    the second diagonal element

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  5. def clone(): AnyRef

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  6. def deflate(): VectorD

    Return the two singular values (smallest first) for the bidiagonal 2-by-2 matrix form from the elements f, g and h.

    Return the two singular values (smallest first) for the bidiagonal 2-by-2 matrix form from the elements f, g and h.

    See also

    LAPACK SUBROUTINE DLAS2 (F, G, H, SSMIN, SSMAX)

  7. def deflateV(): (Double, Double, Double, Double, Double, Double)

    Return the two singular values (smallest first) for the bidiagonal 2-by-2 matrix form from the elements f, g and h.

    Return the two singular values (smallest first) for the bidiagonal 2-by-2 matrix form from the elements f, g and h. Also, return the singular vectors.

    See also

    LAPACK SUBROUTINE DLASV2 (F, G, H, SSMIN, SSMAX, SNR, CSR, SNL, CSL)

  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def factor(): (MatrixD, VectorD, MatrixD)

    Factor matrix 'a' forming a diagonal matrix consisting of singular values and return the singular values in a vector.

    Factor matrix 'a' forming a diagonal matrix consisting of singular values and return the singular values in a vector.

    Definition Classes
    SVD_2by2 → SVDecomp

  11. def finalize(): Unit

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Inherited from SVDecomp

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