The ti(geometric_distribution<IntType = int>) is used to model the number
of bernoulli trials (cf. ref(BERNOULLI)) needed until the first success.

It has one parameter, tt(prob), representing the probability of success in an
individual bernoulli trial.


Defined types:
        verb(    using result_type = IntType;

    struct param_type
    {
        explicit param_type(double prob = 0.5);
        double p() const;
    };)

Constructors, members and example:
    itemization(
    itt(geometric_distribution<>(double prob = 0.5))
        constructs a geometric distribution for bernoulli trials each having
        probability tt(prob) of success.
    itt(geometric_distribution<>(param_type const &param))
        constructs a geometric distribution according to the values stored in
        the tt(param) struct.
    itt(double p() const)nl()
        returns the distribution's tt(prob) parameter;
    itt(param_type param() const)nl()
        returns the object's tt(param_type) structure;
    itt(void param(const param_type &param))
        redefines the parameters of the distribution;
    itt(result_type min() const)nl()
        returns the distribution's lower bound (= tt(0));
    itt(result_type max() const)nl()
        returns the distribution's upper bound;
    itt(template<typename URNG> result_type operator()(URNG &urng))nl()
        returns the next random value from the geometric distribution
    itt(template<typename URNG> result_type operator())nl()
        tt((URNG &urng, param_type &param))nl()
        returns the next random value from a geometric distribution
        initialized by the provided tt(param) struct.
    it() The random number generator that is passed to the generating
       functions must return integral values. Here is an example showing how
        the geometric distribution can be used:
        verbinclude(-a examples/geometric.cc)
    )
