NAG Library Manual, Mark 27
Interfaces:  FL   CL   CPP   AD 
NAG AD Library Introduction
G02 (Correg) Chapter Contents
G02 (Correg) Chapter Introduction (FL)
g02aa:  FL   CL   CPP   AD 

NAG AD Library
g02aa_a1w_f (corrmat_nearest_a1w)

Note: _a1w_ denotes that first order adjoints are computed in working precision; this has the corresponding argument type nagad_a1w_w_rtype. Further implementations, for example for higher order differentiation or using the tangent linear approach, may become available at later marks of the NAG AD Library. The method of codifying AD implementations in the routine name and corresponding argument types is described in the NAG AD Library Introduction.
NAG Library Manual, Mark 27
Interfaces:  FL   CL   CPP   AD 
NAG AD Library Introduction
G02 (Correg) Chapter Contents
G02 (Correg) Chapter Introduction (FL)
g02aa:  FL   CL   CPP   AD 

▸▿ Contents

© The Numerical Algorithms Group Ltd. 2019

1 Purpose

g02aa_a1w_f is the adjoint version of the primal routine g02aaf.

2 Specification

Fortran Interface
Subroutine g02aa_a1w_f ( ad_handle, g, ldg, n, errtol, maxits, maxit, x, ldx, iter, feval, nrmgrd, ifail)
Integer, Intent (In) :: ldg, n, maxits, maxit, ldx
Integer, Intent (Inout) :: ifail
Integer, Intent (Out) :: iter, feval
Type (nagad_a1w_w_rtype), Intent (In) :: errtol
Type (nagad_a1w_w_rtype), Intent (Inout) :: g(ldg,n), x(ldx,n)
Type (nagad_a1w_w_rtype), Intent (Out) :: nrmgrd
Type (c_ptr), Intent (In) :: ad_handle
C++ Header Interface
#include <nagad.h>
void g02aa_a1w_f_ ( void *&ad_handle, nagad_a1w_w_rtype g[], const Integer &ldg, const Integer &n, const nagad_a1w_w_rtype &errtol, const Integer &maxits, const Integer &maxit, nagad_a1w_w_rtype x[], const Integer &ldx, Integer &iter, Integer &feval, nagad_a1w_w_rtype &nrmgrd, Integer &ifail)
The routine may be called by the names g02aa_a1w_f or nagf_correg_corrmat_nearest_a1w.

3 Description

g02aa_a1w_f is the adjoint version of the primal routine g02aaf.
g02aaf computes the nearest correlation matrix, in the Frobenius norm, to a given square, input matrix. For further information see Section 3 in the documentation for g02aaf.

4 References

None.

5 Arguments

In addition to the arguments present in the interface of the primal routine, g02aa_a1w_f includes some arguments specific to AD.
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.
1: ad_handle – Type (c_ptr) Input
On entry: a handle to the AD configuration data object, as created by x10aa_a1w_f.
2: g(ldg, n) – Type (nagad_a1w_w_rtype) array Input/Output
3: ldg – Integer Input
4: n – Integer Input
5: errtol – Type (nagad_a1w_w_rtype) Input
6: maxits – Integer Input
7: maxit – Integer Input
8: x(ldx, n) – Type (nagad_a1w_w_rtype) array Output
9: ldx – Integer Input
10: iter – Integer Output
11: feval – Integer Output
12: nrmgrd – Type (nagad_a1w_w_rtype) Output
13: ifail – Integer Input/Output

6 Error Indicators and Warnings

g02aa_a1w_f preserves all error codes from g02aaf and in addition can return:
ifail=-89
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.
ifail=-899
Dynamic memory allocation failed for AD.
See Section 4.5.1 in the NAG AD Library Introduction for further information.

7 Accuracy

Not applicable.

8 Parallelism and Performance

g02aa_a1w_f is not threaded in any implementation.

9 Further Comments

None.

10 Example

The following examples are variants of the example for g02aaf, modified to demonstrate calling the NAG AD Library.
LanguageSource FileDataResults
Fortrang02aa_a1w_fe.f90g02aa_a1w_fe.dg02aa_a1w_fe.r
C++g02aa_a1w_hcppe.cppg02aa_a1w_hcppe.dg02aa_a1w_hcppe.r
NAG Library Manual, Mark 27
Interfaces:  FL   CL   CPP   AD 
NAG AD Library Introduction
G02 (Correg) Chapter Contents
G02 (Correg) Chapter Introduction (FL)
g02aa:  FL   CL   CPP   AD 
© The Numerical Algorithms Group Ltd. 2019