1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195
|
/*** File polfit.c
*** July 26, 2012
*** By Jessica Mink, after Bevington, page 141
*--- Polynomial least squares fitting program, almost identical to the
* one in Bevington, "Data Reduction and Error Analysis for the
* Physical Sciences," page 141. The argument list was changed and
* the weighting removed.
* y = a(1) + a(2)*(x-x0) + a(3)*(x-x0)**2 + a(3)*(x-x0)**3 + . . .
*/
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include "wcscat.h"
static double determ();
void
polfit (x, y, x0, npts, nterms, a, stdev)
double *x; /* Array of independent variable points */
double *y; /* Array of dependent variable points */
double x0; /* Offset to independent variable */
int npts; /* Number of data points to fit */
int nterms; /* Number of parameters to fit */
double *a; /* Vector containing current fit values */
double *stdev; /* Standard deviation of fit (returned) */
{
double sigma2sum;
double xterm,yterm,xi,yi;
double *sumx, *sumy;
double *array;
int i,j,k,l,n,nmax;
double delta;
/* accumulate weighted sums */
nmax = 2 * nterms - 1;
sumx = (double *) calloc (nmax, sizeof(double));
sumy = (double *) calloc (nterms, sizeof(double));
for (n = 0; n < nmax; n++)
sumx[n] = 0.0;
for (j = 0; j < nterms; j++)
sumy[j] = 0.0;
for (i = 0; i < npts; i++) {
xi = x[i] - x0;
yi = y[i];
xterm = 1.0;
for (n = 0; n < nmax; n++) {
sumx[n] = sumx[n] + xterm;
xterm = xterm * xi;
}
yterm = yi;
for (n = 0; n < nterms; n++) {
sumy[n] = sumy[n] + yterm;
yterm = yterm * xi;
}
}
/* Construct matrices and calculate coeffients */
array = (double *) calloc (nterms*nterms, sizeof(double));
for (j = 0; j < nterms; j++) {
for (k = 0; k < nterms; k++) {
n = j + k;
array[j+k*nterms] = sumx[n];
}
}
delta = determ (array, nterms);
if (delta == 0.0) {
*stdev = 0.;
for (j = 0; j < nterms; j++)
a[j] = 0. ;
free (array);
free (sumx);
free (sumy);
return;
}
for (l = 0; l < nterms; l++) {
for (j = 0; j < nterms; j++) {
for (k = 0; k < nterms; k++) {
n = j + k;
array[j+k*nterms] = sumx[n];
}
array[j+l*nterms] = sumy[j];
}
a[l] = determ (array, nterms) / delta;
}
/* Calculate sigma */
sigma2sum = 0.0;
for (i = 0; i < npts; i++) {
yi = polcomp (x[i], x0, nterms, a);
sigma2sum = sigma2sum + ((y[i] - yi) * (y[i] - yi));
}
*stdev = sqrt (sigma2sum / (double) (npts - 1));
free (array);
free (sumx);
free (sumy);
return;
}
/*--- Calculate the determinant of a square matrix
* This subprogram destroys the input matrix array
* From Bevington, page 294.
*/
static double
determ (array, norder)
double *array; /* Input matrix array */
int norder; /* Order of determinant (degree of matrix) */
{
double save, det;
int i,j,k,k1, zero;
det = 1.0;
for (k = 0; k < norder; k++) {
/* Interchange columns if diagonal element is zero */
if (array[k+k*norder] == 0) {
zero = 1;
for (j = k; j < norder; j++) {
if (array[k+j*norder] != 0.0)
zero = 0;
}
if (zero)
return (0.0);
for (i = k; i < norder; i++) {
save = array[i+j*norder];
array[i+j*norder] = array[i+k*norder];
array[i+k*norder] = save ;
}
det = -det;
}
/* Subtract row k from lower rows to get diagonal matrix */
det = det * array[k+k*norder];
if (k < norder - 1) {
k1 = k + 1;
for (i = k1; i < norder; i++) {
for (j = k1; j < norder; j++) {
array[i+j*norder] = array[i+j*norder] -
(array[i+k*norder] * array[k+j*norder] /
array[k+k*norder]);
}
}
}
}
return (det);
}
/* POLCOMP -- Polynomial evaluation
* Y = A(1) + A(2)*X + A(3)*X**2 + A(3)*X**3 + . . . */
double
polcomp (xi, x0, norder, a)
double xi; /* Independent variable */
double x0; /* Offset to independent variable */
int norder; /* Number of coefficients */
double *a; /* Vector containing coeffiecients */
{
double xterm, x, y;
int iterm;
/* Accumulate polynomial value */
x = xi - x0;
y = 0.0;
xterm = 1.0;
for (iterm = 0; iterm < norder; iterm++) {
y = y + a[iterm] * xterm;
xterm = xterm * x;
}
return (y);
}
/* Sep 10 1987 Program written
*
* Mar 17 1993 Add x offset
*
* Feb 23 1998 Translate to C
*
* Jul 25 2001 Add polcomp to return computed values
*
* Apr 3 2003 Drop unused variable freedom in polfit()
*
* Jul 26 2012 Fix xterm computation in polcomp() from + to *
* (found by Raymond Carlberg of U.Toronto)
*/
|