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Function dlasd5_

numpy/linalg/lapack_lite/f2c_d_lapack.c:26656–26828  ·  view source on GitHub ↗

Subroutine */

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26654} /* dlasd4_ */
26655
26656/* Subroutine */ int dlasd5_(integer *i__, doublereal *d__, doublereal *z__,
26657 doublereal *delta, doublereal *rho, doublereal *dsigma, doublereal *
26658 work)
26659{
26660 /* System generated locals */
26661 doublereal d__1;
26662
26663 /* Local variables */
26664 static doublereal b, c__, w, del, tau, delsq;
26665
26666
26667/*
26668 -- LAPACK auxiliary routine (version 3.2) --
26669 -- LAPACK is a software package provided by Univ. of Tennessee, --
26670 -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
26671 November 2006
26672
26673
26674 Purpose
26675 =======
26676
26677 This subroutine computes the square root of the I-th eigenvalue
26678 of a positive symmetric rank-one modification of a 2-by-2 diagonal
26679 matrix
26680
26681 diag( D ) * diag( D ) + RHO * Z * transpose(Z) .
26682
26683 The diagonal entries in the array D are assumed to satisfy
26684
26685 0 <= D(i) < D(j) for i < j .
26686
26687 We also assume RHO > 0 and that the Euclidean norm of the vector
26688 Z is one.
26689
26690 Arguments
26691 =========
26692
26693 I (input) INTEGER
26694 The index of the eigenvalue to be computed. I = 1 or I = 2.
26695
26696 D (input) DOUBLE PRECISION array, dimension ( 2 )
26697 The original eigenvalues. We assume 0 <= D(1) < D(2).
26698
26699 Z (input) DOUBLE PRECISION array, dimension ( 2 )
26700 The components of the updating vector.
26701
26702 DELTA (output) DOUBLE PRECISION array, dimension ( 2 )
26703 Contains (D(j) - sigma_I) in its j-th component.
26704 The vector DELTA contains the information necessary
26705 to construct the eigenvectors.
26706
26707 RHO (input) DOUBLE PRECISION
26708 The scalar in the symmetric updating formula.
26709
26710 DSIGMA (output) DOUBLE PRECISION
26711 The computed sigma_I, the I-th updated eigenvalue.
26712
26713 WORK (workspace) DOUBLE PRECISION array, dimension ( 2 )

Callers 1

dlasd4_Function · 0.85

Calls 2

absFunction · 0.85
sqrtFunction · 0.50

Tested by

no test coverage detected