The following functions return uniformly distributed random numbers,
either as integers or double precision floating point numbers. Inline versions of these functions are used when
HAVE_INLINE is defined.
To obtain non-uniform distributions see Random Number Distributions.
This function returns a random integer from the generator r. The
minimum and maximum values depend on the algorithm used, but all
integers in the range [min,max] are equally likely. The
values of min and max can be determined using the auxiliary
gsl_rng_max (r) and
This function returns a double precision floating point number uniformly
distributed in the range [0,1). The range includes 0.0 but excludes 1.0.
The value is typically obtained by dividing the result of
gsl_rng_max(r) + 1.0 in double
precision. Some generators compute this ratio internally so that they
can provide floating point numbers with more than 32 bits of randomness
(the maximum number of bits that can be portably represented in a single
unsigned long int).
This function returns a positive double precision floating point number
uniformly distributed in the range (0,1), excluding both 0.0 and 1.0.
The number is obtained by sampling the generator with the algorithm of
gsl_rng_uniform until a non-zero value is obtained. You can use
this function if you need to avoid a singularity at 0.0.
This function returns a random integer from 0 to n-1 inclusive by scaling down and/or discarding samples from the generator r. All integers in the range [0,n-1] are produced with equal probability. For generators with a non-zero minimum value an offset is applied so that zero is returned with the correct probability.
Note that this function is designed for sampling from ranges smaller
than the range of the underlying generator. The parameter n
must be less than or equal to the range of the generator r.
If n is larger than the range of the generator then the function
calls the error handler with an error code of
In particular, this function is not intended for generating the full range of
unsigned integer values [0,2^32-1]. Instead
choose a generator with the maximal integer range and zero minimum
value, such as
gsl_rng_taus, and sample it directly using
gsl_rng_get. The range of each generator can be found using
the auxiliary functions described in the next section.