Doxygen Source Code Documentation
model_beta.c File Reference
#include <math.h>#include "NLfit_model.h"Go to the source code of this file.
Functions | |
| void | signal_model (float *gs, 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 40 of file model_beta.c. References MODEL_interface::call_func, MODEL_interface::label, MODEL_interface::max_constr, MODEL_interface::min_constr, MODEL_SIGNAL_TYPE, MODEL_interface::model_type, MODEL_interface::params, MODEL_interface::plabel, signal_model(), and XtMalloc.
00041 {
00042 MODEL_interface * mi = NULL;
00043
00044
00045 /*----- allocate memory space for model interface -----*/
00046 mi = (MODEL_interface *) XtMalloc (sizeof(MODEL_interface));
00047
00048
00049 /*----- define interface for the differential - exponential model -----*/
00050
00051 /*----- name of this model -----*/
00052 strcpy (mi->label, "Beta");
00053
00054 /*----- this is a signal model -----*/
00055 mi->model_type = MODEL_SIGNAL_TYPE;
00056
00057 /*----- number of parameters in the model -----*/
00058 mi->params = 5;
00059
00060 /*----- parameter labels -----*/
00061 strcpy (mi->plabel[0], "t0");
00062 strcpy (mi->plabel[1], "tf");
00063 strcpy (mi->plabel[2], "k");
00064 strcpy (mi->plabel[3], "alpha");
00065 strcpy (mi->plabel[4], "beta");
00066
00067 /*----- minimum and maximum parameter constraints -----*/
00068 mi->min_constr[0] = 27.0; mi->max_constr[0] = 77.0;
00069 mi->min_constr[1] = 78.0; mi->max_constr[1] = 250.0;
00070 mi->min_constr[2] = -5000.0; mi->max_constr[2] = 5000.0;
00071 mi->min_constr[3] = 0.00; mi->max_constr[3] = 10.0;
00072 mi->min_constr[4] = 0.00; mi->max_constr[4] = 10.0;
00073
00074 /*----- function which implements the model -----*/
00075 mi->call_func = &signal_model;
00076
00077
00078 /*----- return pointer to the model interface -----*/
00079 return (mi);
00080 }
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Definition at line 99 of file model_beta.c. Referenced by initialize_model().
00106 {
00107 int it; /* time index */
00108 float t; /* time */
00109 float fval; /* time series value at time t */
00110 float x; /* rescaled t */
00111 float t0, tf, k, alpha, beta; /* parameters */
00112
00113
00114 t0 = gs[0];
00115 tf = gs[1];
00116 k = gs[2];
00117 alpha = gs[3];
00118 beta = gs[4];
00119
00120 for (it = 0; it < ts_length; it++)
00121 {
00122 t = x_array[it][1];
00123 if ((t <= t0) || (t >= tf) || (t0 >= tf))
00124 fval = 0.0;
00125 else
00126 {
00127 x = (t - t0) / (tf - t0);
00128 fval = k * exp((alpha-1.0)*log(x)) * exp((beta-1.0)*log(1.0-x));
00129 }
00130 ts_array[it] = fval;
00131 }
00132 }
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