// distribution_construction.cpp // Copyright Paul A. Bristow 2006. // Use, modification and distribution are subject to the // Boost Software License, Version 1.0. // (See accompanying file LICENSE_1_0.txt // or copy at http://www.boost.org/LICENSE_1_0.txt) #define BOOST_MATH_THROW_ON_DOMAIN_ERROR #ifdef _MSC_VER # pragma warning(disable: 4127) // conditional expression is constant. # pragma warning(disable: 4512) // assignment operator could not be generated. # pragma warning(disable: 4996) // 'std::char_traits::copy' was declared deprecated. #endif // Examples of using constructing distributions, mainly negative_binomial. // The structure of distributions is rather different from some other // statistical libraries, in less object oriented language like FOTRTRAN and C, // that provide a few arguments to each free function. // This library provides each distribution as a template C++ class. // A distribution is constructed with a few arguments, and then // member and non-member functions are used to find values of the // distribution, often a functions of a random variate. #include // for negative_binomial_distribution using boost::math::negative_binomial_distribution; // default type is double. using boost::math::negative_binomial; // typedef provides default type is double. #include // for binomial_distribution. #include // for beta_distribution. #include // for gamma_distribution. #include using std::cout; using std::endl; int main() { cout << "Examples of constructing Distributions (Negative_binomial)."; #if defined(__FILE__) && defined(__TIMESTAMP__) cout << " " << __FILE__ << ' ' << __TIMESTAMP__ << ' '<< _MSC_FULL_VER << "\n"; #endif cout << endl; // Several examples of constructing distributions, for example, negative binomial: // Distributions are fundamentally constructed like this: boost::math::negative_binomial_distribution mydist0(8., 0.25); // But this is inconveniently long, so by writing using namespace boost::math; // or using boost::math::negative_binomial_distribution; // can reduce typing. // Since the vast majority of applications use double, // the RealType default is made double, so one can write: negative_binomial_distribution<> mydist9(8., 0.25); // Uses default RealType = double. // But the name "negative_binomial_distribution" is still inconveniently long, // so for most distributions, a typedef is provided, for example: // typedef negative_binomial_distribution negative_binomial; // Reserved name of type double. // (Unless a clash would occur with the name of a function, for example gamma, beta) using boost::math::negative_binomial; // Allows convenient reference to negative_binomial_distribution thus: negative_binomial mydist(8., 0.25); // // You can, of course, still provide the type explicitly thus: negative_binomial_distribution mydist1(8., 0.25); // Explicit double. negative_binomial_distribution mydist2(8., 0.25); // Explicit float, double arguments -> float. negative_binomial_distribution mydist3(8, 0.25); // Explicit float, integer & double arguments -> float. negative_binomial_distribution mydist4(8.F, 0.25F); // Explicit float, float arguments, no conversion. negative_binomial_distribution mydist5(8, 1); // Explicit integer, integer arguments -> float. negative_binomial_distribution mydist6(8., 0.25); // Explicit double. negative_binomial_distribution mydist7(8., 0.25); // Explicit long double. // And if you have your own RealType called MyFPType, // for example NTL quad_float (128-bit floating-point), then: // negative_binomial_distribution mydist6(8, 1); // Integer arguments -> MyFPType. // Deafult arguments to distribution constructors. // Note that default constructor arguments are only provided for some distributions. // negative_binomial_distribution<> mydist8; // error C2512 no appropriate default constructor available. // No default constructor are provided, // because it is difficult to chose any sensible default values for this distribution. // For other distribution, like the normal distribution, // it is obviously very useful to provide 'standard' // defaults for the mean and standard deviation thus: // normal_distribution(RealType mean = 0, RealType sd = 1) // Some examples using the provided typedef: using boost::math::negative_binomial; // Convenient access to the name. // Allows convenient reference to negative_binomial of default type double. negative_binomial mydist10(5., 0.4); // Both arguments double. // And automatic conversion takes place, so you can use integers and floats: negative_binomial mydist11(5, 0.4); // Using provided typedef double, int and double arguments. // This is probably the most common usage. negative_binomial mydist12(5., 0.4F); // Double and float arguments. negative_binomial mydist13(5, 1); // Both arguments integer. // For cases when the typdef distribution name // would clash with a math special function // (for example: binomial, beta and gamma) // the typedef is deliberately not provided, and the longer version(s) must be used. // For example: using namespace boost::math; // NOT binomial mybd0(1, 0.5); // error C2065: 'binomial' : undeclared identifier using boost::math::beta; // NOT beta mybetad0(1, 0.5); because beta is a math FUNCTION! // error C2146: syntax error : missing ';' before identifier 'mybetad0' // warning C4551: function call missing argument list // error C3861: 'mybetad0': identifier not found // Instead use: using boost::math::beta_distribution; beta_distribution<> mybetad1(1, 0.5); // Other examples are: binomial_distribution<> mybinomd1(1, 0.5); gamma_distribution<> mygammad1(1, 0.5); return 0; } // int main() /* Output is: Examples of constructing Distributions (Negative_binomial). ..\..\..\..\..\..\boost-sandbox\libs\math_functions\example\distribution_construction.cpp Wed Nov 22 14:31:51 2006 140050727 */