1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76
|
/* ------------------------------------------------------------- */
/* File: example1.cpp */
/* */
/* This example simply shows that UNU.RAN can directly be used */
/* with C++. */
/* (Of course the example could be much less "C-stylish".) */
/* ------------------------------------------------------------- */
/* Include UNURAN header file. */
#include <unuran.h>
#include <iostream>
/* ------------------------------------------------------------- */
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);
/* Choose a method: AROU. */
/* For other (suitable) methods replace "arou" with the */
/* respective name (in lower case letters). */
par = unur_arou_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) {
std::cerr << "ERROR: cannot create generator object" << std::endl;
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);
std::cout << "x(" << i << ") = " << x << std::endl;
}
/* When you do not need the generator object any more, you */
/* can destroy it. */
unur_free(gen);
exit (EXIT_SUCCESS);
} /* end of main() */
/* ------------------------------------------------------------- */
|