lasd5(3)

NAME
lasd5 - lasd5: D&C step: secular equation, 2x2

SYNOPSIS

  Functions
subroutine dlasd5 (i, d, z, delta, rho, dsigma, work)
DLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc.
subroutine slasd5 (i, d, z, delta, rho, dsigma, work)
SLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc.

Detailed Description

Function Documentation

  subroutine dlasd5 (integer i, double precision, dimension( 2 ) d, double precision, dimension( 2 ) z, double precision, dimension( 2 ) delta, double precision rho, double precision dsigma, double precision, dimension( 2 ) work)

DLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc.

Purpose:

    !>
    !> This subroutine computes the square root of the I-th eigenvalue
    !> of a positive symmetric rank-one modification of a 2-by-2 diagonal
    !> matrix
    !>
    !>            diag( D ) * diag( D ) +  RHO * Z * transpose(Z) .
    !>
    !> The diagonal entries in the array D are assumed to satisfy
    !>
    !>            0 <= D(i) < D(j)  for  i < j .
    !>
    !> We also assume RHO > 0 and that the Euclidean norm of the vector
    !> Z is one.
    !>

Parameters
    I

    !>          I is INTEGER
    !>         The index of the eigenvalue to be computed.  I = 1 or I = 2.
    !>

    D

    !>          D is DOUBLE PRECISION array, dimension ( 2 )
    !>         The original eigenvalues.  We assume 0 <= D(1) < D(2).
    !>

    Z

    !>          Z is DOUBLE PRECISION array, dimension ( 2 )
    !>         The components of the updating vector.
    !>

    DELTA

    !>          DELTA is DOUBLE PRECISION array, dimension ( 2 )
    !>         Contains (D(j) - sigma_I) in its  j-th component.
    !>         The vector DELTA contains the information necessary
    !>         to construct the eigenvectors.
    !>

    RHO

    !>          RHO is DOUBLE PRECISION
    !>         The scalar in the symmetric updating formula.
    !>

    DSIGMA

    !>          DSIGMA is DOUBLE PRECISION
    !>         The computed sigma_I, the I-th updated eigenvalue.
    !>

    WORK

    !>          WORK is DOUBLE PRECISION array, dimension ( 2 )
    !>         WORK contains (D(j) + sigma_I) in its  j-th component.
    !>

Author
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Contributors:
    Ren-Cang Li, Computer Science Division, University of California at Berkeley, USA

Definition at line 115 of file dlasd5.f.

  subroutine slasd5 (integer i, real, dimension( 2 ) d, real, dimension( 2 ) z, real, dimension( 2 ) delta, real rho, real dsigma, real, dimension( 2 ) work)

SLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc.

Purpose:

    !>
    !> This subroutine computes the square root of the I-th eigenvalue
    !> of a positive symmetric rank-one modification of a 2-by-2 diagonal
    !> matrix
    !>
    !>            diag( D ) * diag( D ) +  RHO * Z * transpose(Z) .
    !>
    !> The diagonal entries in the array D are assumed to satisfy
    !>
    !>            0 <= D(i) < D(j)  for  i < j .
    !>
    !> We also assume RHO > 0 and that the Euclidean norm of the vector
    !> Z is one.
    !>

Parameters
    I

    !>          I is INTEGER
    !>         The index of the eigenvalue to be computed.  I = 1 or I = 2.
    !>

    D

    !>          D is REAL array, dimension (2)
    !>         The original eigenvalues.  We assume 0 <= D(1) < D(2).
    !>

    Z

    !>          Z is REAL array, dimension (2)
    !>         The components of the updating vector.
    !>

    DELTA

    !>          DELTA is REAL array, dimension (2)
    !>         Contains (D(j) - sigma_I) in its  j-th component.
    !>         The vector DELTA contains the information necessary
    !>         to construct the eigenvectors.
    !>

    RHO

    !>          RHO is REAL
    !>         The scalar in the symmetric updating formula.
    !>

    DSIGMA

    !>          DSIGMA is REAL
    !>         The computed sigma_I, the I-th updated eigenvalue.
    !>

    WORK

    !>          WORK is REAL array, dimension (2)
    !>         WORK contains (D(j) + sigma_I) in its  j-th component.
    !>

Author
    Univ. of Tennessee

    Univ. of California Berkeley

    Univ. of Colorado Denver

    NAG Ltd.

Contributors:
    Ren-Cang Li, Computer Science Division, University of California at Berkeley, USA

Definition at line 115 of file slasd5.f.

Author

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