f08me
is the AD Library version of the primal routine
f08mef (dbdsqr).
Based (in the C++ interface) on overload resolution,
f08me can be used for primal, tangent and adjoint
evaluation. It supports tangents and adjoints of first order.
Note: this function can be used with AD tools other than dco/c++. For details, please contact
NAG.
f08me
is the AD Library version of the primal routine
f08mef (dbdsqr).
f08mef (dbdsqr) computes the singular value decomposition of a real upper or lower bidiagonal matrix, or of a real general matrix which has been reduced to bidiagonal form.
For further information see
Section 3 in the documentation for
f08mef (dbdsqr).
Fernando K V and Parlett B N (1994) Accurate singular values and differential qd algorithms Numer. Math. 67 191–229
A brief summary of the AD specific arguments is given below. For the remainder, links are provided to the corresponding argument from the primal routine.
A tooltip popup for all arguments can be found by hovering over the argument name in
Section 2 and in this section.
f08me uses the standard NAG
ifail mechanism. Any errors indicated via
info values returned by
f08mef may be indicated with the same value returned by
ifail. In addition, this routine may return:
- ${\mathbf{ifail}}=-89$
An unexpected AD error has been triggered by this routine. Please
contact
NAG.
See
Error Handling in the NAG AD Library Introduction for further information.
- ${\mathbf{ifail}}=-199$
The routine was called using a strategy that has not yet been implemented.
See
AD Strategies in the NAG AD Library Introduction for further information.
- ${\mathbf{ifail}}=-444$
A C++ exception was thrown.
The error message will show the details of the C++ exception text.
- ${\mathbf{ifail}}=-899$
Dynamic memory allocation failed for AD.
See
Error Handling in the NAG AD Library Introduction for further information.
Not applicable.
None.
The following examples are variants of the example for
f08mef (dbdsqr),
modified to demonstrate calling the NAG AD Library.
This example computes the singular value decomposition of the upper bidiagonal matrix
$B$, where
See also the example for
f08kf, which illustrates the use of the routine to compute the singular value decomposition of a general matrix.