Doxygen Source Code Documentation
model_diffexp.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
|
|
Definition at line 40 of file model_diffexp.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, "DiffExp");
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 = 4;
00059
00060 /*----- parameter labels -----*/
00061 strcpy (mi->plabel[0], "t0");
00062 strcpy (mi->plabel[1], "k");
00063 strcpy (mi->plabel[2], "alpha1");
00064 strcpy (mi->plabel[3], "alpha2");
00065
00066 /*----- minimum and maximum parameter constraints -----*/
00067 mi->min_constr[0] = 45.0; mi->max_constr[0] = 75.0;
00068 mi->min_constr[1] = -500.0; mi->max_constr[1] = 500.0;
00069 mi->min_constr[2] = 0.00; mi->max_constr[2] = 0.15;
00070 mi->min_constr[3] = 0.15; mi->max_constr[3] = 0.50;
00071
00072 /*----- function which implements the model -----*/
00073 mi->call_func = &signal_model;
00074
00075
00076 /*----- return pointer to the model interface -----*/
00077 return (mi);
00078 }
|
|
||||||||||||||||||||
|
Definition at line 96 of file model_diffexp.c. Referenced by initialize_model().
00103 {
00104 int it; /* time index */
00105 float t; /* time */
00106 float fval; /* time series value at time t */
00107
00108
00109 for (it = 0; it < ts_length; it++)
00110 {
00111 t = x_array[it][1];
00112 if (t < gs[0])
00113 fval = 0.0;
00114 else
00115 fval = gs[1] * (exp(-gs[2]*(t-gs[0])) - exp(-gs[3]*(t-gs[0])));
00116 ts_array[it] = fval;
00117 }
00118
00119 }
|
