/* nag_opt_check_deriv (e04hcc) Example Program.
*
* Copyright 2022 Numerical Algorithms Group.
*
* Mark 28.3, 2022.
*
*/
#include <nag.h>
#include <stdio.h>
#ifdef __cplusplus
extern "C" {
#endif
static void NAG_CALL objfun(Integer n, const double x[], double *f, double g[],
Nag_Comm *comm);
#ifdef __cplusplus
}
#endif
#define NMAX 4
int main(void) {
Integer exit_status = 0, i, n;
NagError fail;
double *g = 0, objf, *x = 0;
Nag_Comm comm;
INIT_FAIL(fail);
printf("nag_opt_check_deriv (e04hcc) Example Program Results\n");
n = NMAX;
if (n >= 1) {
if (!(x = NAG_ALLOC(n, double)) || !(g = NAG_ALLOC(n, double))) {
printf("Allocation failure\n");
exit_status = -1;
goto END;
}
} else {
printf("Invalid n.\n");
exit_status = 1;
return exit_status;
}
x[0] = 1.46;
x[1] = -0.82;
x[2] = 0.57;
x[3] = 1.21;
printf("\nThe test point is:\n");
for (i = 0; i < n; ++i)
printf(" %8.4f", x[i]);
printf("\n");
/* Call derivative checker */
/* nag_opt_check_deriv (e04hcc).
* Derivative checker for use with nag_opt_bounds_deriv
* (e04kbc)
*/
nag_opt_check_deriv(n, objfun, x, &objf, g, &comm, &fail);
if (fail.code != NE_NOERROR) {
printf("Error from nag_opt_check_deriv (e04hcc).\n%s\n", fail.message);
exit_status = 1;
goto END;
}
printf("\nFirst derivatives are consistent with function values.\n\n");
printf("At the test point, objfun gives the function value %13.4e\n", objf);
printf("and the 1st derivatives\n\n");
for (i = 0; i < n; ++i)
printf(" %12.3e ", g[i]);
printf("\n");
END:
NAG_FREE(x);
NAG_FREE(g);
return exit_status;
}
static void NAG_CALL objfun(Integer n, const double x[], double *objf,
double g[], Nag_Comm *comm) {
/* objfun evaluates the objective function and its derivatives. */
double x1, x2, x3, x4;
double tmp, tmp1, tmp2, tmp3, tmp4;
x1 = x[0];
x2 = x[1];
x3 = x[2];
x4 = x[3];
/* Supply a single function value */
tmp1 = x1 + 10.0 * x2;
tmp2 = x3 - x4;
tmp3 = x2 - 2.0 * x3, tmp3 *= tmp3;
tmp4 = x1 - x4, tmp4 *= tmp4;
*objf = tmp1 * tmp1 + 5.0 * tmp2 * tmp2 + tmp3 * tmp3 + 10.0 * tmp4 * tmp4;
if (comm->flag != 0) {
/* Calculate the derivatives */
tmp = x1 - x4;
g[0] = 2.0 * (x1 + 10.0 * x2) + 40.0 * tmp * tmp * tmp;
tmp = x2 - 2.0 * x3;
g[1] = 20.0 * (x1 + 10.0 * x2) + 4.0 * tmp * tmp * tmp;
tmp = x2 - 2.0 * x3;
g[2] = 10.0 * (x3 - x4) - 8.0 * tmp * tmp * tmp;
tmp = x1 - x4;
g[3] = 10.0 * (x4 - x3) - 40.0 * tmp * tmp * tmp;
}
} /* objfun */