/* ------------------------------------------------------------- */ /* File: example0_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: */ /* Standard Gaussian distribution. */ /* Use method AUTO: */ /* Let UNURAN select a suitable method for you. */ gen = unur_str2gen("normal()"); /* 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 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() */ /* ------------------------------------------------------------- */