PATH:
opt
/
cpanel
/
ea-ruby27
/
src
/
passenger-release-6.1.2
/
src
/
cxx_supportlib
/
vendor-modified
/
boost
/
random
/* boost random/uniform_real.hpp header file * * Copyright Jens Maurer 2000-2001 * 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. * * $Id$ * * Revision history * 2001-04-08 added min<max assertion (N. Becker) * 2001-02-18 moved to individual header files */ #ifndef BOOST_RANDOM_UNIFORM_REAL_HPP #define BOOST_RANDOM_UNIFORM_REAL_HPP #include <boost/assert.hpp> #include <boost/config.hpp> #include <boost/limits.hpp> #include <boost/random/uniform_real_distribution.hpp> namespace boost { /** * The distribution function uniform_real models a random distribution. * On each invocation, it returns a random floating-point value uniformly * distributed in the range [min..max). * * This class is deprecated. Please use @c uniform_real_distribution in * new code. */ template<class RealType = double> class uniform_real : public random::uniform_real_distribution<RealType> { typedef random::uniform_real_distribution<RealType> base_type; public: class param_type : public base_type::param_type { public: typedef uniform_real distribution_type; /** * Constructs the parameters of a uniform_real distribution. * * Requires: min <= max */ explicit param_type(RealType min_arg = RealType(0.0), RealType max_arg = RealType(1.0)) : base_type::param_type(min_arg, max_arg) {} }; /** * Constructs a uniform_real object. @c min and @c max are the * parameters of the distribution. * * Requires: min <= max */ explicit uniform_real(RealType min_arg = RealType(0.0), RealType max_arg = RealType(1.0)) : base_type(min_arg, max_arg) { BOOST_ASSERT(min_arg < max_arg); } /** Constructs a uniform_real distribution from its parameters. */ explicit uniform_real(const param_type& parm) : base_type(parm) {} /** Returns the parameters of the distribution */ param_type param() const { return param_type(this->a(), this->b()); } /** Sets the parameters of the distribution. */ void param(const param_type& parm) { this->base_type::param(parm); } }; } // namespace boost #endif // BOOST_RANDOM_UNIFORM_REAL_HPP
[-] uniform_smallint.hpp
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[-] weibull_distribution.hpp
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[-] xor_combine.hpp
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[-] generate_canonical.hpp
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[-] traits.hpp
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[-] laplace_distribution.hpp
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[-] hyperexponential_distribution.hpp
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[-] student_t_distribution.hpp
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[-] lagged_fibonacci.hpp
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[-] uniform_int.hpp
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[-] binomial_distribution.hpp
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[-] uniform_on_sphere.hpp
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[-] bernoulli_distribution.hpp
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[-] triangle_distribution.hpp
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[-] beta_distribution.hpp
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[-] subtract_with_carry.hpp
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[-] uniform_01.hpp
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[-] discrete_distribution.hpp
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[-] variate_generator.hpp
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[-] taus88.hpp
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[-] generalized_inverse_gaussian_distribution.hpp
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[-] random_number_generator.hpp
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[-] exponential_distribution.hpp
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[+]
..
[-] inverse_gaussian_distribution.hpp
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[-] xoshiro.hpp
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[-] inversive_congruential.hpp
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[-] cauchy_distribution.hpp
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[-] faure.hpp
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[-] chi_squared_distribution.hpp
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[-] linear_congruential.hpp
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[-] mersenne_twister.hpp
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[-] lognormal_distribution.hpp
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[-] uniform_int_distribution.hpp
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[-] geometric_distribution.hpp
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[-] piecewise_linear_distribution.hpp
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[-] independent_bits.hpp
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[-] extreme_value_distribution.hpp
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[-] splitmix64.hpp
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[-] gamma_distribution.hpp
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[-] niederreiter_base2.hpp
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[-] poisson_distribution.hpp
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[-] mixmax.hpp
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[-] uniform_real_distribution.hpp
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[-] discard_block.hpp
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[-] seed_seq.hpp
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[-] normal_distribution.hpp
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[-] fisher_f_distribution.hpp
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[-] negative_binomial_distribution.hpp
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[-] shuffle_output.hpp
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[-] linear_feedback_shift.hpp
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[-] additive_combine.hpp
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[+]
detail
[-] shuffle_order.hpp
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[-] random_device.hpp
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[-] sobol.hpp
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[-] ranlux.hpp
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[-] uniform_real.hpp
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[-] non_central_chi_squared_distribution.hpp
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[-] piecewise_constant_distribution.hpp
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