/* ------------------------------------------------------------- */
/* File: example3_str.c */
/* ------------------------------------------------------------- */
/* String API. */
/* ------------------------------------------------------------- */
/* Include UNURAN header file. */
#include <unuran.h>
/* ------------------------------------------------------------- */
int main(void)
{
int i; /* loop variable */
double x; /* will hold the random number */
/* Declare UNURAN generator object. */
UNUR_GEN *gen; /* generator object */
/* Create the generator object. */
/* Use a predefined standard distribution: */
/* Gaussian with mean 2. and standard deviation 0.5. */
/* Choose a method: TDR with parameters */
/* c = 0: use T(x)=log(x) for the transformation; */
/* variant "immediate acceptance"; */
/* number of construction points = 10. */
gen = unur_str2gen(
"normal(2,0.5) & method=tdr; c=0.; variant_ia; cpoints=10");
/* It is important to check if the creation of the generator */
/* object was successful. Otherwise `gen' is the NULL pointer */
/* and would cause a segmentation fault if used for sampling. */
if (gen == NULL) {
fprintf(stderr, "ERROR: cannot create generator object\n");
exit (EXIT_FAILURE);
}
/* Now you can use the generator object `gen' to sample from */
/* the distribution. Eg.: */
for (i=0; i<10; i++) {
x = unur_sample_cont(gen);
printf("%f\n",x);
}
/* It is possible with method TDR to truncate the distribution */
/* for an existing generator object ... */
unur_tdr_chg_truncated( gen, -1., 0. );
/* ... and sample again. */
for (i=0; i<10; i++) {
x = unur_sample_cont(gen);
printf("%f\n",x);
}
/* When you do not need the generator object any more, you */
/* can destroy it. */
unur_free(gen);
exit (EXIT_SUCCESS);
} /* end of main() */
/* ------------------------------------------------------------- */
