Hi, I would like to introduce the numeric_adaptor library that Barend and I have developed to address a recurring problem: integration of big numbers. We already talked about it in the past, when discussions about geometry would lead to robustness. We're introducing it now because of the upcoming formal review of GGL. The purpose of this library is to turn big-numbers proposed by the most well-known big number libraries into value-types, (almost) usable like any number. This way, a library developer who has a robustness sensible function to write can take numbers as template parameters, and use them in such a way that they can be a fundamental type or one of the value-types provided by numeric_adaptor. This is basically done by: - defining in all the big-number types all the operators needed to manipulate them like fundamental types - defining some free functions in the boost namespace for other operations (sin, cos, hypot, conversions...), which have an default overload for fundamental types and a specific overload for each big-number type proposed Example: template <class T> T my_robustness_sensitive_function(T value) { value /= 2; T value2 = boost::to<T>("123.0123456789"); value += boost::sqrt(value2); return value; }; This function is numeric_adaptor-ready. If T is a fundamental type, boost::to() will forward to boost::lexical_cast and boost::sqrt() will forward to std::sqrt(). If T is one of the big number types provided by the library, specific overloads will be used. The precision of the function will thus entirely depend on the type passed. If the user chooses to sacrifice precision and use fundamental types, there won't be any run-time overhead. If the user wants something more precise and uses a big-number type, the precision of the result will be the one of the chosen type. The library is extensible. Anyone can add a new big number type with all needed operators, and overload the free functions (or specialize a dedicated traits class - see boost::to()). Note: For conversions, we would have liked to extend boost::lexical_cast directly, but the library is not designed in that sense. That's why we wrapped it into a boost::to() function which is explicitly designed to be extended, via traits. Last week on this list list a generic convert_to was discussed and that system could be used alternatively. The library is in the Boost sandbox: https://svn.boost.org/svn/boost/sandbox/numeric_adaptor/ The library currently proposes 2 big number types: CLN and GMP. This is not a formal review request, rather a preview and a reference that we will possibly use during the review of GGL. However, we would really like to have your feedback and to know if such a library would make sense. Regards Bruno