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📄 policy_eg_6.cpp

📁 Boost provides free peer-reviewed portable C++ source libraries. We emphasize libraries that work
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//  Copyright John Maddock 2007.//  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)// Note that this file contains quickbook mark-up as well as code// and comments, don't change any of the special comment mark-ups!#include <iostream>//[policy_eg_6/*`Suppose we want a set of distributions to behave as follows:* Return infinity on overflow, rather than throwing an exception.* Don't perform any promotion from double to long double internally.* Return the closest integer result from the quantiles of discretedistributions.We'll begin by including the needed header:*/#include <boost/math/distributions.hpp>/*`Open up an appropriate namespace for our distributions, anddefine the policy type we want.  Any policies we don'tspecify here will inherit the defaults:*/namespace my_distributions{using namespace boost::math::policies;typedef policy<   // return infinity and set errno rather than throw:   overflow_error<errno_on_error>,   // Don't promote double -> long double internally:   promote_double<false>,   // Return the closest integer result for discrete quantiles:   discrete_quantile<integer_round_nearest>> my_policy;/*`All we need do now is invoke the BOOST_MATH_DECLARE_DISTRIBUTIONSmacro passing the floating point and policy types as arguments:*/BOOST_MATH_DECLARE_DISTRIBUTIONS(double, my_policy)} // close namespace my_namespace/*`We now have a set of typedefs defined in namespace my_namespacethat all look something like this:``typedef boost::math::normal_distribution<double, my_policy> normal;typedef boost::math::cauchy_distribution<double, my_policy> cauchy;typedef boost::math::gamma_distribution<double, my_policy> gamma;// etc``So that when we use my_namespace::normal we really end up using`boost::math::normal_distribution<double, my_policy>`:*/int main(){   //   // Start with something we know will overflow:   //   my_distributions::normal norm(10, 2);   errno = 0;   std::cout << "Result of quantile(norm, 0) is: "       << quantile(norm, 0) << std::endl;   std::cout << "errno = " << errno << std::endl;   errno = 0;   std::cout << "Result of quantile(norm, 1) is: "       << quantile(norm, 1) << std::endl;   std::cout << "errno = " << errno << std::endl;   //   // Now try a discrete distribution:   //   my_distributions::binomial binom(20, 0.25);   std::cout << "Result of quantile(binom, 0.05) is: "       << quantile(binom, 0.05) << std::endl;   std::cout << "Result of quantile(complement(binom, 0.05)) is: "       << quantile(complement(binom, 0.05)) << std::endl;}/*`Which outputs:[preResult of quantile(norm, 0) is: -1.#INFerrno = 34Result of quantile(norm, 1) is: 1.#INFerrno = 34Result of quantile(binom, 0.05) is: 1Result of quantile(complement(binom, 0.05)) is: 8]This mechanism is particularly useful when we want to define a project-wide policy, and don't want to modify the Boost sourceor set - possibly fragile and easy to forget - project wide build macros.*/ //] ends quickbook imported section

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