/* nag_linf_fit (e02gcc) Example Program.
*
* Copyright 2014 Numerical Algorithms Group.
*
* Mark 7, 2001.
*/
#include <stdio.h>
#include <math.h>
#include <nag.h>
#include <nag_stdlib.h>
#include <nage02.h>
int main(void)
{
/* Scalars */
double relerr, resmax, t, tol;
Integer exit_status, i, irank, iter, m, n, pda;
NagError fail;
Nag_OrderType order;
/* Arrays */
double *a = 0, *b = 0, *x = 0;
#ifdef NAG_COLUMN_MAJOR
#define A(I, J) a[(J-1)*pda + I - 1]
order = Nag_ColMajor;
#else
#define A(I, J) a[(I-1)*pda + J - 1]
order = Nag_RowMajor;
#endif
INIT_FAIL(fail);
exit_status = 0;
printf("nag_linf_fit (e02gcc) Example Program Results\n");
/* Skip heading in data file */
scanf("%*[^\n] ");
n = 3;
scanf("%ld%*[^\n] ", &m);
if (m > 0)
{
/* Allocate memory */
if (!(a = NAG_ALLOC((n+3)*(m+1), double)) ||
!(b = NAG_ALLOC(m, double)) ||
!(x = NAG_ALLOC(n, double)))
{
printf("Allocation failure\n");
exit_status = -1;
goto END;
}
if (order == Nag_ColMajor)
pda = n + 3;
else
pda = m + 1;
for (i = 1; i <= m; ++i)
{
scanf("%lf%lf%*[^\n] ", &t, &b[i-1]);
A(1, i) = exp(t);
A(2, i) = exp(-t);
A(3, i) = 1.0;
}
tol = 0.0;
relerr = 0.0;
/* nag_linf_fit (e02gcc).
* L_infinity-approximation by general linear function
*/
nag_linf_fit(order, m, n, a, b, tol, &relerr, x, &resmax, &irank, &iter,
&fail);
if (fail.code != NE_NOERROR)
{
printf("Error from nag_linf_fit (e02gcc).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}
else
{
printf("\n");
printf("resmax = %11.2e Rank = %5ld Iterations ="
" %5ld\n", resmax, irank, iter);
printf("\n");
printf("Solution\n");
for (i = 1; i <= n; ++i)
printf("%10.4f", x[i-1]);
printf("\n");
}
}
END:
NAG_FREE(a);
NAG_FREE(b);
NAG_FREE(x);
return exit_status;
}