mpfr_float

#include <boost/multiprecision/mpfr.hpp>

namespace boost{ namespace multiprecision{

enum mpfr_allocation_type
{
   allocate_stack,
   allocate_dynamic
};

template <unsigned Digits10, mpfr_allocation_type AllocateType = allocate_dynamic>
class mpfr_float_backend;

typedef number<mpfr_float_backend<50> >    mpfr_float_50;
typedef number<mpfr_float_backend<100> >   mpfr_float_100;
typedef number<mpfr_float_backend<500> >   mpfr_float_500;
typedef number<mpfr_float_backend<1000> >  mpfr_float_1000;
typedef number<mpfr_float_backend<0> >     mpfr_float;

typedef number<mpfr_float_backend<50, allocate_stack> >    static_mpfr_float_50;
typedef number<mpfr_float_backend<100, allocate_stack> >   static_mpfr_float_100;

}} // namespaces

The mpfr_float_backend type is used in conjunction with number: It acts as a thin wrapper around the MPFR mpfr_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 mpfr_float_backend 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 mpfr_float_50, mpfr_float_100, mpfr_float_500, mpfr_float_1000 provide arithmetic types at 50, 100, 500 and 1000 decimal digits precision respectively. The typedef mpfr_float provides a variable precision type whose precision can be controlled via the numbers member functions.

In addition the second template parameter lets you choose between dynamic allocation (the default, and uses MPFR's normal allocation routines), or stack allocation (where all the memory required for the underlying data types is stored within mpfr_float_backend). The latter option can result in significantly faster code, at the expense of growing the size of mpfr_float_backend. It can only be used at fixed precision, and should only be used for lower digit counts. Note that we can not guarantee that using allocate_stack won't cause any calls to mpfr's allocation routines, as mpfr may call these inside its own code. The following table gives an idea of the performance tradeoff's at 50 decimal digits precision^[2]:

Type	Bessel function evaluation, relative times
`number<mpfr_float_backend<50, allocate_static>, et_on>`	1.0 (5.5s)
`number<mpfr_float_backend<50, allocate_static>, et_off>`	1.05 (5.8s)
`number<mpfr_float_backend<50, allocate_dynamic>, et_on>`	1.05 (5.8s)
`number<mpfr_float_backend<50, allocate_dynamic>, et_off>`	1.16 (6.4s)

	Note
	This type only provides `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<mpfr_float_backend<N> > are copy constructible and assignable from:

The GMP native types mpf_t, mpz_t, mpq_t.
The MPFR native type mpfr_t.
The number wrappers around those types: number<mpfr_float_backend<M> >, number<mpf_float<M> >, number<gmp_int>, number<gmp_rational>.

It's also possible to access the underlying mpfr_t via the data() member function of mpfr_float_backend.

Things you should know when using this type:

A default constructed mpfr_float_backend is set to zero (Note that this is not the default MPFR behavior).
All operations use round to nearest.
No changes are made to GMP or MPFR global settings, so this type can coexist with existing MPFR or GMP code.
The code can equally use MPIR in place of GMP - indeed that is the preferred option on Win32.
This backend supports rvalue-references and is move-aware, making instantiations of number on this backend move aware.
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 an infinity.
When using the variable precision type mpfr_float, then copy construction and assignment copies the precision of the source variable. Likewise move construction and assignment.
When constructing the variable precision type mpfr_float you can specify two arguments to the constructor - the first is the value to assign to the variable, the second is an unsigned integer specifying the precision in decimal places. The assign member function similarly has a 2-argument overload taking the value to assign and the precision. You can use this to preserve the precision of the target variable using the somewhat arcane: a.assign(b, a.precision()), which assigns b to a but preserves the precision of a.

MPFR example:

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

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

   // Operations at variable precision and no numeric_limits support:
   mpfr_float a = 2;
   mpfr_float::default_precision(1000);
   std::cout << mpfr_float::default_precision() << std::endl;
   std::cout << sqrt(a) << std::endl; // print root-2

   // Operations at fixed precision and full numeric_limits support:
   mpfr_float_100 b = 2;
   std::cout << std::numeric_limits<mpfr_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 data:
   mpfr_t r;
   mpfr_init(r);
   mpfr_set(r, b.backend().data(), GMP_RNDN);
   mpfr_clear(r);
   return 0;
}

^[2] Compiled with VC++10 and /Ox, with MPFR-3.0.0 and MPIR-2.3.0

Boost C++ Libraries

mpfr_float

MPFR example: