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model_diffexp.c File Reference
#include <math.h>
#include "NLfit_model.h"
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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_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 } |
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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 } |