/* D01PA_T1W_F C++ Header Example Program.
*
* Copyright 2019 Numerical Algorithms Group.
* Mark 27, 2019.
*/
#include <nag.h>
#include <dco.hpp>
#include <nagad.h>
#include <stdio.h>
#include <math.h>
#include <iostream>
using namespace std;
extern "C"
{
static void NAG_CALL fun(void* &ad_handle,
const Integer& ndim,
const nagad_t1w_w_rtype x[],
nagad_t1w_w_rtype& ret,
Integer iuser[],
nagad_t1w_w_rtype ruser[]);
}
int main(void)
{
// Scalars
int exit_status = 0;
Integer mxord = 5, ndim = 3, sdvert = 8, ldvert = 4;
cout << "D01PA_T1W_F C++ Header Example Program Results\n\n";
// Allocate memory
nagad_t1w_w_rtype *finvls = 0, *vert = 0, *vert_in = 0;
finvls = new nagad_t1w_w_rtype [mxord];
vert = new nagad_t1w_w_rtype [ldvert*sdvert];
vert_in = new nagad_t1w_w_rtype [ldvert*ndim];
for (int i=0;i<ndim*ldvert;i++) {
vert_in[i] = 0.0;
}
for (int i=1;i<ndim*ldvert;i=i+ldvert+1) {
vert_in[i] = 1.0;
}
// Create AD configuration data object
Integer ifail = 0;
void *ad_handle = 0;
x10aa_t1w_f_(ad_handle,ifail);
for (int i=0;i<ndim*ldvert;i++) {
vert[i] = vert_in[i];
}
cout << "\n Maxord Estimated Estimated Integrand\n";
cout << " value accuracy evaluations\n";
cout.setf(ios::scientific,ios::floatfield);
cout.precision(4);
Integer minord = 0, nevals = 1;
for (Integer maxord = 1; maxord<=mxord; maxord++) {
// Call the AD routine
nagad_t1w_w_rtype esterr, ruser[1];
Integer iuser[1];
ifail = 0;
d01pa_t1w_f_(ad_handle,ndim,vert,ldvert,sdvert,fun,minord,
maxord,finvls,esterr,iuser,ruser,ifail);
double finv_r = nagad_t1w_get_value(finvls[maxord-1]);
double estr_r = nagad_t1w_get_value(esterr);
cout.width(5); cout << maxord;
cout.width(15); cout << finv_r;
cout.width(15); cout << estr_r;
cout.width(12); cout << nevals << endl;
nevals = (nevals*(maxord+ndim+1))/maxord;
}
cout << "\n Derivatives calculated: First order tangents\n";
cout << " Computational mode : algorithmic\n";
nagad_t1w_w_rtype sol = finvls[mxord-1];
cout.setf(ios::right);
cout.precision(4);
cout << "\n Solution, I = ";
double ans_value = nagad_t1w_get_value(finvls[mxord-1]);
cout.width(12); cout << ans_value << endl;
cout << "\n Derivatives w.r.t vertices:\n";
cout << " i j d/dv(i,j)\n";
cout.setf(ios::scientific,ios::floatfield);
int k = -1;
for (int i = 1; i <= ndim+1; i++) {
for (int j = 1; j <= ndim; j++) {
k = k + 1;
double inc = 1.0;
nagad_t1w_inc_derivative(&vert[k],inc);
ifail = 0;
minord = 0;
// Call the AD routine
nagad_t1w_w_rtype esterr, ruser[1];
Integer iuser[1];
ifail = 0;
d01pa_t1w_f_(ad_handle,ndim,vert,ldvert,sdvert,fun,minord,
mxord,finvls,esterr,iuser,ruser,ifail);
double dfdv = nagad_t1w_get_derivative(finvls[mxord-1]);
double zero = 0.0;
nagad_t1w_set_derivative(&vert[k],zero);
cout.width(4); cout << i;
cout.width(4); cout << j;
cout.width(14); cout << dfdv << endl;
}
}
// Remove computational data object
ifail = 0;
x10ab_t1w_f_(ad_handle,ifail);
delete [] finvls;
delete [] vert;
delete [] vert_in;
return exit_status;
}
static void NAG_CALL fun(void* &ad_handle,
const Integer& ndim,
const nagad_t1w_w_rtype x[],
nagad_t1w_w_rtype& ret,
Integer iuser[],
nagad_t1w_w_rtype ruser[])
{
nagad_t1w_w_rtype tmp1;
// dco/c++ used here to perform AD of the following
tmp1 = x[0] + x[1] + x[2];
ret = exp(tmp1)*cos(tmp1);
return;
}