f07ca_a1w_f
is the adjoint version of the primal routine
f07caf (dgtsv).
Depending on the value of
ad_handle,
f07ca_a1w_f uses algorithmic differentiation or symbolic adjoints to compute adjoints of the primal.
f07ca_a1w_f
is the adjoint version of the primal routine
f07caf (dgtsv).
f07caf (dgtsv) computes the solution to a real system of linear equations
where
is an
by
tridiagonal matrix and
and
are
by
matrices.
For further information see
Section 3 in the documentation for
f07caf (dgtsv).
f07ca_a1w_f can provide symbolic adjoints by setting the symbolic mode as described in
Section 3.2.2 in the
X10 Chapter introduction. Please see
Section 4 in the Introduction to the NAG AD Library for API description on how to use symbolic adjoints.
The symbolic adjoint uses the
decomposition computed by the primal routine to obtain the adjoint of the right-hand side
by solving
where
and
denote the
th column of the matrices
and
respectively. The adjoint of the matrix
is then computed according to
where
and
denote the
th column of the matrices
and
respectively.
Du Toit J, Naumann U (2017) Adjoint Algorithmic Differentiation Tool Support for Typical Numerical Patterns in Computational Finance
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.
f07ca_a1w_f uses the standard NAG
ifail mechanism. Any errors indicated via
info values returned by
f07caf may be indicated with the same value returned by
ifail. In addition, this routine may return:
An unexpected AD error has been triggered by this routine. Please
contact
NAG.
See
Section 4.5.2 in the NAG AD Library Introduction for further information.
Dynamic memory allocation failed for AD.
See
Section 4.5.1 in the NAG AD Library Introduction for further information.
Not applicable.
None.
The following examples are variants of the example for
f07caf (dgtsv),
modified to demonstrate calling the NAG AD Library.