/* ------------------------------------------------------------- */ /* File: example0.c */ /* ------------------------------------------------------------- */ /* Include UNURAN header file. */ #include <unuran.h> /* ------------------------------------------------------------- */ int main(void) { int i; /* loop variable */ double x; /* will hold the random number */ /* Declare the three UNURAN objects. */ UNUR_DISTR *distr; /* distribution object */ UNUR_PAR *par; /* parameter object */ UNUR_GEN *gen; /* generator object */ /* Use a predefined standard distribution: */ /* Gaussian with mean zero and standard deviation 1. */ /* Since this is the standard form of the distribution, */ /* we need not give these parameters. */ distr = unur_distr_normal(NULL, 0); /* Use method AUTO: */ /* Let UNURAN select a suitable method for you. */ par = unur_auto_new(distr); /* Now you can change some of the default settings for the */ /* parameters of the chosen method. We don't do it here. */ /* Create the generator object. */ gen = unur_init(par); /* Notice that this call has also destroyed the parameter */ /* object `par' as a side effect. */ /* 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); } /* It is possible to reuse the distribution object to create */ /* another generator object. If you do not need it any more, */ /* it should be destroyed to free memory. */ unur_distr_free(distr); /* Now you can use the generator object `gen' to sample from */ /* the standard Gaussian distribution. */ /* Eg.: */ 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() */ /* ------------------------------------------------------------- */