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#### gmp_float

`#include <boost/multiprecision/gmp.hpp>`

    namespace boost{ namespace multiprecision{

    template <unsigned Digits10>
    class gmp_float;

    typedef number<gmp_float<50> >    mpf_float_50;
    typedef number<gmp_float<100> >   mpf_float_100;
    typedef number<gmp_float<500> >   mpf_float_500;
    typedef number<gmp_float<1000> >  mpf_float_1000;
    typedef number<gmp_float<0> >     mpf_float;

    }} // namespaces

The `gmp_float` back-end is used in conjunction with `number` : it acts as a thin wrapper around the GMP `mpf_t` to provide an real-number type that is a drop-in replacement for the native C++ floating-point types, but with much greater precision.

Type `gmp_float` can be used at fixed precision by specifying a non-zero `Digits10` template parameter, or at variable precision by setting the template argument to zero. The typedefs mpf_float_50, mpf_float_100, mpf_float_500, mpf_float_1000 provide arithmetic types at 50, 100, 500 and 1000 decimal digits precision respectively. The typedef mpf_float provides a variable precision type whose precision can be controlled via the `number`s member functions.

| Note
This type only provides standard library and `numeric_limits` support when the precision is fixed at compile time.

As well as the usual conversions from arithmetic and string types, instances of `number<mpf_float<N> >` are copy constructible and assignable from:

- The GMP native types `mpf_t`, `mpz_t`, `mpq_t`.
- The `number` wrappers around those types: `number<mpf_float<M> >`, `number<gmp_int>`, `number<gmp_rational>`.

It's also possible to access the underlying `mpf_t` via the `data()` member function of `gmp_float`.

Things you should know when using this type:

- Default constructed `gmp_float`s have the value zero (this is the GMP library's default behavior).
- No changes are made to the GMP library's global settings, so this type can be safely mixed with existing GMP code.
- This backend supports rvalue-references and is move-aware, making instantiations of `number` on this backend move aware.
- It is not possible to round-trip objects of this type to and from a string and get back exactly the same value. This appears to be a limitation of GMP.
- Since the underlying GMP types have no notion of infinities or NaN's, care should be taken to avoid numeric overflow or division by zero. That latter will result in a std::overflow_error being thrown, while generating excessively large exponents may result in instability of the underlying GMP library (in testing, converting a number with an excessively large or small exponent to a string caused GMP to segfault).
- This type can equally be used with MPIR as the underlying implementation - indeed that is the recommended option on Win32.
- Conversion from a string results in a `std::runtime_error` being thrown if the string can not be interpreted as a valid floating-point number.
- Division by zero results in a `std::overflow_error` being thrown.

###### GMP example:

    #include <boost/multiprecision/gmp.hpp>
    #include <boost/math/special_functions/gamma.hpp>
    #include <iostream>

    int main()
    {
       using namespace boost::multiprecision;

       // Operations at variable precision and limited standard library support:
       mpf_float a = 2;
       mpf_float::default_precision(1000);
       std::cout << mpf_float::default_precision() << std::endl;
       std::cout << sqrt(a) << std::endl; // print root-2

       // Operations at fixed precision and full standard library support:
       mpf_float_100 b = 2;
       std::cout << std::numeric_limits<mpf_float_100>::digits << std::endl;
       // We can use any C++ std lib function:
       std::cout << log(b) << std::endl; // print log(2)
       // We can also use any function from Boost.Math:
       std::cout << boost::math::tgamma(b) << std::endl;
       // These even work when the argument is an expression template:
       std::cout << boost::math::tgamma(b * b) << std::endl;

       // Access the underlying representation:
       mpf_t f;
       mpf_init(f);
       mpf_set(f, a.backend().data());
       mpf_clear(f);
       return 0;
    }