Server IP : 172.67.216.182 / Your IP : 108.162.226.242 Web Server : Apache System : Linux krdc-ubuntu-s-2vcpu-4gb-amd-blr1-01.localdomain 5.15.0-142-generic #152-Ubuntu SMP Mon May 19 10:54:31 UTC 2025 x86_64 User : www ( 1000) PHP Version : 7.4.33 Disable Function : passthru,exec,system,putenv,chroot,chgrp,chown,shell_exec,popen,proc_open,pcntl_exec,ini_alter,ini_restore,dl,openlog,syslog,readlink,symlink,popepassthru,pcntl_alarm,pcntl_fork,pcntl_waitpid,pcntl_wait,pcntl_wifexited,pcntl_wifstopped,pcntl_wifsignaled,pcntl_wifcontinued,pcntl_wexitstatus,pcntl_wtermsig,pcntl_wstopsig,pcntl_signal,pcntl_signal_dispatch,pcntl_get_last_error,pcntl_strerror,pcntl_sigprocmask,pcntl_sigwaitinfo,pcntl_sigtimedwait,pcntl_exec,pcntl_getpriority,pcntl_setpriority,imap_open,apache_setenv MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : OFF | Sudo : ON | Pkexec : ON Directory : /www/server/mysql/src/boost/boost_1_59_0/boost/random/ |
Upload File : |
/* boost random/weibull_distribution.hpp header file * * Copyright Steven Watanabe 2010 * Distributed under 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) * * See http://www.boost.org for most recent version including documentation. * * $Id$ */ #ifndef BOOST_RANDOM_WEIBULL_DISTRIBUTION_HPP #define BOOST_RANDOM_WEIBULL_DISTRIBUTION_HPP #include <boost/config/no_tr1/cmath.hpp> #include <iosfwd> #include <istream> #include <boost/config.hpp> #include <boost/limits.hpp> #include <boost/random/detail/operators.hpp> #include <boost/random/uniform_01.hpp> namespace boost { namespace random { /** * The Weibull distribution is a real valued distribution with two * parameters a and b, producing values >= 0. * * It has \f$\displaystyle p(x) = \frac{a}{b}\left(\frac{x}{b}\right)^{a-1}e^{-\left(\frac{x}{b}\right)^a}\f$. */ template<class RealType = double> class weibull_distribution { public: typedef RealType result_type; typedef RealType input_type; class param_type { public: typedef weibull_distribution distribution_type; /** * Constructs a @c param_type from the "a" and "b" parameters * of the distribution. * * Requires: a > 0 && b > 0 */ explicit param_type(RealType a_arg = 1.0, RealType b_arg = 1.0) : _a(a_arg), _b(b_arg) {} /** Returns the "a" parameter of the distribtuion. */ RealType a() const { return _a; } /** Returns the "b" parameter of the distribution. */ RealType b() const { return _b; } /** Writes a @c param_type to a @c std::ostream. */ BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, param_type, parm) { os << parm._a << ' ' << parm._b; return os; } /** Reads a @c param_type from a @c std::istream. */ BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, param_type, parm) { is >> parm._a >> std::ws >> parm._b; return is; } /** Returns true if the two sets of parameters are the same. */ BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(param_type, lhs, rhs) { return lhs._a == rhs._a && lhs._b == rhs._b; } /** Returns true if the two sets of parameters are the different. */ BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(param_type) private: RealType _a; RealType _b; }; /** * Constructs a @c weibull_distribution from its "a" and "b" parameters. * * Requires: a > 0 && b > 0 */ explicit weibull_distribution(RealType a_arg = 1.0, RealType b_arg = 1.0) : _a(a_arg), _b(b_arg) {} /** Constructs a @c weibull_distribution from its parameters. */ explicit weibull_distribution(const param_type& parm) : _a(parm.a()), _b(parm.b()) {} /** * Returns a random variate distributed according to the * @c weibull_distribution. */ template<class URNG> RealType operator()(URNG& urng) const { using std::pow; using std::log; return _b*pow(-log(1 - uniform_01<RealType>()(urng)), 1/_a); } /** * Returns a random variate distributed accordint to the Weibull * distribution with parameters specified by @c param. */ template<class URNG> RealType operator()(URNG& urng, const param_type& parm) const { return weibull_distribution(parm)(urng); } /** Returns the "a" parameter of the distribution. */ RealType a() const { return _a; } /** Returns the "b" parameter of the distribution. */ RealType b() const { return _b; } /** Returns the smallest value that the distribution can produce. */ RealType min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return 0; } /** Returns the largest value that the distribution can produce. */ RealType max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return std::numeric_limits<RealType>::infinity(); } /** Returns the parameters of the distribution. */ param_type param() const { return param_type(_a, _b); } /** Sets the parameters of the distribution. */ void param(const param_type& parm) { _a = parm.a(); _b = parm.b(); } /** * Effects: Subsequent uses of the distribution do not depend * on values produced by any engine prior to invoking reset. */ void reset() { } /** Writes a @c weibull_distribution to a @c std::ostream. */ BOOST_RANDOM_DETAIL_OSTREAM_OPERATOR(os, weibull_distribution, wd) { os << wd.param(); return os; } /** Reads a @c weibull_distribution from a @c std::istream. */ BOOST_RANDOM_DETAIL_ISTREAM_OPERATOR(is, weibull_distribution, wd) { param_type parm; if(is >> parm) { wd.param(parm); } return is; } /** * Returns true if the two instances of @c weibull_distribution will * return identical sequences of values given equal generators. */ BOOST_RANDOM_DETAIL_EQUALITY_OPERATOR(weibull_distribution, lhs, rhs) { return lhs._a == rhs._a && lhs._b == rhs._b; } /** * Returns true if the two instances of @c weibull_distribution will * return different sequences of values given equal generators. */ BOOST_RANDOM_DETAIL_INEQUALITY_OPERATOR(weibull_distribution) private: RealType _a; RealType _b; }; } // namespace random } // namespace boost #endif // BOOST_RANDOM_WEIBULL_DISTRIBUTION_HPP