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The C Users' Group Library 1994 August
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wc-cdrom-cusersgrouplibrary-1994-08.iso
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vol_200
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209_01
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linefitr.c
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C/C++ Source or Header
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1990-03-04
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/* LINEFITR.C VERS:- 01.00 DATE:- 09/26/86 TIME:- 09:39:08 PM */
/*
cp b:$1 -e -s0
z80asm $1.bb
slrnk b:$1, b:simpmain, b:simplib1/s, b:simplib0/s, b:$1/n/e
*/
/*
Description:
VERSION OF XXXXFITn, for:
nonlinear least squares fit by simplex minimizaton (Nelder-Mead algorithm).
test program operation:
by fit of the linear function: y = a + b * x
to data that can be reduced by hand.
compile with:
simpmain, simplib1, simplib0
floating point functions
the precision of the floating point functions must be high, ie 14 or more
decimal digits; eight digit precision is not enough for the
matrix operations.
contents of the xxxxfitn module =
declarations and routines for simplex fitting special to function to be fit:
function for calculation of dependent variable and
weighted sum of residuals squared = func()
print of <data> records = fdatprint()
= fpointprint()
other special displays = fspecial()
all external definitions, except for <data>, which is
defined as dummy storage in SIMPLIB1
or its modification
By J.A. Rupley, Tucson, Arizona
Coded for ECO C compiler, version 3.40
*/
/* page eject */
/*
To make more readable the coding in <func()> of the model
equation to be fit to the data:
(1) use mnemonic member names in declaring <struct dat> in
XXXXFITn;
(2) declare a dummy structure, <struct pnamestruct>, that is
entirely equivalent to the structure that holds the parameter
values, <pstruct>, but that has mnemonic member names; the
mnemonic dummy structure then can be used with the <pstruct>
address passed as a parameter to <func()>.
Change in the model being fit should not require recoding
and recompilation of <read_data()> or any other routines except
those of XXXXFITn; of course, change in the model requires change
of <func()>, <fdatprint()>, and of the declarations of <struct dat>
and <struct pnamestruct> in XXXXFITn.
*/
/* page eject */
#include <stdio.h>
#include <ctrlcnst.h>
#define NVERT 3 /* set equal to 1 + number of parameters
used in <func()> */
#define NPARM 10 /* do NOT change this define */
/* EXTERNALS AND STRUCTURES */
/* do NOT change any structure except <dat>*/
/* the structure <dat> MUST be changed
to accord with the requirements of
<func()> and <fdatprint()>; */
/* all members of <struct dat> MUST be of
type double. */
/* as written the program accomodates
more than 100 six-member data points */
/* see the header above for more description
of the declaration of <struct dat> in XXXXFITn
and the definition of the aggregate <data> in
SIMPLIB1 */
/* the structure <pnamestruct> is equivalent
to <pstruct>, which holds the parameter values;
use of <pnamestruct> allows mnemonic access
to the contents of <pstruct> */
struct dat {
double y ;
double yc ;
double w ;
double x ;
} ;
struct pstruct {
double val ;
double parm[NPARM] ;
} ;
struct pnamestruct {
double val ;
double a ;
double b ;
double dummy[8] ;
} ;
struct qstruct {
int parmndx[NPARM] ;
double q[NPARM] ;
double yplus[NPARM] ;
double yminus[NPARM] ;
double a[NPARM] ;
double bdiag[NPARM] ;
double inv_bdiag[NPARM] ;
double std_dev[NPARM] ;
} ;
struct pstruct p[NVERT] ;
struct pstruct pcent ;
struct pstruct *p_p[NVERT] ;
struct pstruct pmin ;
struct qstruct q ;
double qmat[NPARM][NPARM] ;
double mean_func, rms_func, test, rms_data ;
double yzero, ymin, ypmin, mse ;
double quad_test, exit_test ;
int iter, maxiter, nparm, nvert, ndata, maxquad_skip, prt_cycle, ndatval ;
int nfree ;
char title[80] ;
/* page eject */
/* FUNC
CALCULATION OF LEAST SQUARES FUNCTION
CODED ACCORDING TO MODEL BEING FIT
IT SHOULD BE EFFICIENT
DURING THE FIT, TIME IS MOSTLY SPENT HERE
(THE OVERHEAD ELSEWHERE IS ONLY SEVERAL SECONDS PER CYCLE)
*/
int func(g)
struct pstruct *g ;
{
void printf() ;
register int n ;
struct pnamestruct *pnam ;
extern struct dat data[] ;
extern int nparm ;
extern int ndata ;
/*
/* example of setting of bounds, not applicable to LINEFITR */
for (n = 0; n < nparm; n++)
if (g->parm[n] <= 0) {
g->val = g->val + 1.E36 ;
printf("function error\n") ;
return (ERROR) ;
}
*/
pnam = g ;
pnam->val = 0 ;
for (n = 0; n < ndata; n++) {
data[n].yc = pnam->a + pnam->b * data[n].x;
pnam->val = pnam->val
+ (data[n].y - data[n].yc)
* (data[n].y - data[n].yc)
* data[n].w
* data[n].w ;
}
return (OK) ;
} /* END OF FUNC */
/* page eject */
/* FDATPRINT
PRINT DATA AND COMPARE WITH CALCULATED VALUES
CODED ACCORDING TO MODEL AND DATA
*/
void fdatprint(fptr)
FILE *fptr ;
{
register int j ;
void fprintf() ;
extern int iter, ndata, maxiter ;
extern struct dat data[] ;
extern char title[] ;
fprintf(fptr, "\1\f\n%-s\n\niteration number %d\n\n", title, iter) ;
fprintf(fptr,
" yobs ycalc del-y weight x\n") ;
for (j = 0; j < ndata; j++)
fprintf(fptr,
"%4d %7.3f %7.3f %7.3f %7.3f %10.5f\n",
(j+1), data[j].y, data[j].yc, (data[j].y - data[j].yc),
data[j].w, data[j].x) ;
if (maxiter != 0)
fpointprint(fptr) ;
} /* END OF FDATPRINT */
/* FPOINTPRINT
PRINT POINTS FOR CONSTRUCTION OF PRIMARY AND SECONDARY PLOTS
CODED ACCORDING TO MODEL AND DATA
*/
void fpointprint(fptr)
FILE *fptr ;
{
} /* END OF FPOINTPRINT */
/* FSPECIAL
DISPLAY ADDITIONAL INFORMATION DURING
TRACKING OF MINIMIZATION, IN SIMPFIT()
*/
void fspecial(fptr)
FILE *fptr ;
{
register j ;
void fprintf() ;
extern int maxiter ;
extern double ypmin, yzero, quad_test ;
if (ypmin > 0.99E38) {
fprintf(fptr, "y-pmin error") ;
for (j = 0; j < nvert; j++)
if (pmin.parm[j] < 0)
fprintf(fptr, " (parm(%d) < 0)", j) ;
}
else if (ypmin > yzero)
fprintf(fptr, "y-pmin > yzero") ;
fprintf(fptr, " next_prt= %d next_quad= %7.2e\n",
maxiter, quad_test) ;
return ;
} /* END OF FSPECIAL */