LASQ1: computes the singular values of a real N-by-N bidiagonal matrix with diagonal D and off-diagonal E. The singular values are computed to high relative accuracy, in the absence of denormalization, underflow and overflow. The algorithm was first presented in "Accurate singular values and differential qd algorithms" by K. V. Fernando and B. N. Parlett, Numer. Math., Vol-67, No. 2, pp. 191-230, 1994, and the present implementation is described in "An implementation of
the dqds Algorithm (Positive Case)", LAPACK Working Note.
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LASQ1: computes the singular values of a real N-by-N bidiagonal matrix with diagonal D and off-diagonal E. The singular values are computed to high relative accuracy, in the absence of denormalization, underflow and overflow. The algorithm was first presented in "Accurate singular values and differential qd algorithms" by K. V. Fernando and B. N. Parlett, Numer. Math., Vol-67, No. 2, pp. 191-230, 1994, and the present implementation is described in "An implementation of
the dqds Algorithm (Positive Case)", LAPACK Working Note.
◆ dlasq1()
pure subroutine la_lapack::lasq1::dlasq1 |
( |
integer(ilp), intent(in) |
n, |
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real(dp), dimension(*), intent(inout) |
d, |
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real(dp), dimension(*), intent(inout) |
e, |
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real(dp), dimension(*), intent(out) |
work, |
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integer(ilp), intent(out) |
info |
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) |
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◆ la_dlasq1()
la_lapack::lasq1::la_dlasq1 |
◆ la_qlasq1()
la_lapack::lasq1::la_qlasq1 |
◆ la_slasq1()
la_lapack::lasq1::la_slasq1 |
◆ slasq1()
pure subroutine la_lapack::lasq1::slasq1 |
( |
integer(ilp), intent(in) |
n, |
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real(sp), dimension(*), intent(inout) |
d, |
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real(sp), dimension(*), intent(inout) |
e, |
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real(sp), dimension(*), intent(out) |
work, |
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integer(ilp), intent(out) |
info |
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) |
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The documentation for this interface was generated from the following file: