Doxygen Source Code Documentation
model_quadratic.c File Reference
#include <math.h>#include "NLfit_model.h"Go to the source code of this file.
Functions | |
| void | noise_model (float *gn, int ts_length, float **x_array, float *ts_array) |
| DEFINE_MODEL_PROTOTYPE MODEL_interface * | initialize_model () |
Function Documentation
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Definition at line 42 of file model_quadratic.c. References MODEL_interface::call_func, MODEL_interface::label, MODEL_interface::max_constr, MODEL_interface::min_constr, MODEL_NOISE_TYPE, MODEL_interface::model_type, noise_model(), MODEL_interface::params, MODEL_interface::plabel, and XtMalloc.
00043 {
00044 MODEL_interface * mi = NULL;
00045
00046
00047 /*----- allocate memory space for model interface -----*/
00048 mi = (MODEL_interface *) XtMalloc (sizeof(MODEL_interface));
00049
00050
00051 /*----- define quadratic noise model -----*/
00052
00053 /*----- name of this model -----*/
00054 strcpy (mi->label, "Quadratic");
00055
00056 /*----- this is a noise model -----*/
00057 mi->model_type = MODEL_NOISE_TYPE;
00058
00059 /*----- number of parameters in the model -----*/
00060 mi->params = 3;
00061
00062 /*----- parameter labels -----*/
00063 strcpy (mi->plabel[0], "constant");
00064 strcpy (mi->plabel[1], "linear");
00065 strcpy (mi->plabel[2], "quadratic");
00066
00067 /*----- minimum and maximum parameter constraints -----*/
00068 mi->min_constr[0] = -100.0; mi->max_constr[0] = 100.0;
00069 mi->min_constr[1] = -1.0; mi->max_constr[1] = 1.0;
00070 mi->min_constr[2] = -0.1; mi->max_constr[2] = 0.1;
00071
00072
00073 /*----- function which implements the model -----*/
00074 mi->call_func = noise_model;
00075
00076
00077 /*----- return pointer to the model interface -----*/
00078 return (mi);
00079 }
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Definition at line 95 of file model_quadratic.c. Referenced by initialize_model().
00102 {
00103 int it; /* time index */
00104 float t; /* time */
00105 float fval; /* time series value at time t */
00106
00107
00108 for (it = 0; it < ts_length; it++)
00109 {
00110 t = x_array[it][1];
00111 fval = gn[0] + gn[1]*t + gn[2]*t*t;
00112 ts_array[it] = fval;
00113 }
00114
00115 }
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