Linux Manuals

std::geometric_distribution<IntType>::p – std::geometric_distribution<IntType>::p Synopsis double p() const; (since C++ 11) Returns the p distribution parameter the distribution was constructed with. The parameter defines the probability of a trial generating true. The default value is 0.5. Parameters (none) Return value Floating point value identifying the p distribution parameter. See also       gets or sets the distribution parameter…

std::geometric_distribution<IntType>::operator() – std::geometric_distribution<IntType>::operator() Synopsis template <class Generator> (1)(since C++ 11) result_type operator()(Generator &g); template <class Generator> (2)(since C++ 11) result_type operator()(Generator &g, const param_type &params); Generates random numbers that are distributed according to the associated probability function. The entropy is acquired by calling g.operator(). The first version uses the associated parameter set, the second version…

std::geometric_distribution<IntType>::min – std::geometric_distribution<IntType>::min Synopsis result_type min() const; (since C++11) Returns the minimum value potentially generated by the distribution. Parameters (none) Return value The minimum value potentially generated by the distribution Complexity Constant. See also     returns the maximum potentially generated value max (public member function)

std::geometric_distribution<IntType>::max – std::geometric_distribution<IntType>::max Synopsis result_type max() const; (since C++11) Returns the maximum value potentially generated by the distribution. Parameters (none) Return value The maximum value potentially generated by the distribution. Complexity Constant. See also     returns the minimum potentially generated value min (public member function)

std::geometric_distribution<IntType>::geometric_distribution – std::geometric_distribution<IntType>::geometric_distribution Synopsis geometric_distribution() : geometric_distribution(0.5) {} (1) (since C++11) explicit geometric_distribution( double p ); (2) (since C++11) explicit geometric_distribution( const param_type& params ); (3) (since C++11) Constructs a new distribution object. (2) uses p as the distribution parameter. (3) uses params as the distribution parameter. Parameters p – the p distribution parameter (probability…

std::geometric_distribution – std::geometric_distribution Synopsis Defined in header<random> template <class IntType = int> (since C++ 11) class geometric_distribution; Produces random non-negative integer values i, distributed according to discrete probability function: \(P(i|p) = p \cdot (1-p)^i\)P(i|p) = p · (1 − p)i The value represents the number of yes/no trials (each succeeding with probability p) which are…

std::generic_category – std::generic_category Synopsis Defined in header <system_error> const std::error_category& generic_category() noexcept; (since C++11) Obtains a reference to the static error category object for generic errors. The object is required to override the virtual function error_category::name() to return a pointer to the string "generic". It is used to identify error conditions that correspond to the…

std::generate_n – std::generate_n Synopsis Defined in header<algorithm> template <class OutputIt, class Size, class Generator> (until C++ 11) void generate_n(OutputIt first, Size count, Generator g); template <class OutputIt, class Size, class Generator> (since C++ 11) OutputIt generate_n(OutputIt first, Size count, Generator g); (1)(until C++ 20) template <class OutputIt, class Size, class Generator> (since C++ 20) constexpr…

std::generate_canonical – std::generate_canonical Synopsis Defined in header <random> template< class RealType, size_t bits, class Generator > (since C++11) RealType generate_canonical( Generator& g ); Generates a random floating point number in range [0, 1). To generate enough entropy, generate_canonical() will call g() exactly k times, where \(k = max(1, \lceil \frac{b}{log_2 R} \rceil)\)k = max(1, ⌈…

std::generate – std::generate Synopsis Defined in header<algorithm> template <class ForwardIt, class Generator> (until C++ 20) void generate(ForwardIt first, ForwardIt last, Generator g); template <class ForwardIt, class Generator> (1)(since C++ 20) constexpr void generate(ForwardIt first, ForwardIt last, Generator g); template <class ExecutionPolicy, class ForwardIt, class Generator> (2)(since C++ 17) void generate(ExecutionPolicy &&policy, ForwardIt first, ForwardIt last,…

std::gcd – std::gcd Synopsis Defined in header <numeric> template< class M, class N> (since C++17) constexpr std::common_type_t<M, N> gcd(M m, N n); Computes the greatest common divisor of the integers m and n. Parameters m, n – integer values Return value If both m and n are zero, returns zero. Otherwise, returns the greatest common…

std::gamma_distribution< _RealType >::param_type – Synopsis Public Types typedef gamma_distribution < _RealType > distribution_type" Public Member Functions param_type (_RealType __alpha_val=_RealType(1), _RealType __beta_val=_RealType(1)) _RealType alpha () const _RealType beta () const Friends class gamma_distribution< _RealType > bool operator== (const param_type &__p1, const param_type &__p2) Detailed Description template<typename _RealType = double>struct std::gamma_distribution< _RealType >::param_type Parameter type. Definition at…

std::gamma_distribution<RealType>::reset – std::gamma_distribution<RealType>::reset Synopsis void reset(); (since C++ 11) Resets the internal state of the distribution object. After a call to this function, the next call to operator() on the distribution object will not be dependent on previous calls to operator(). Parameters (none) Return value (none) Complexity Constant.

std::gamma_distribution<RealType>::param – std::gamma_distribution<RealType>::param Synopsis param_type param() const; (1) (since C++11) void param( const param_type& params ); (2) (since C++11) Manages the associated distribution parameter set. 1) Returns the associated parameter set. 2) Sets the associated parameter set to params Parameters params – new contents of the associated parameter set Return value 1) The associated parameter…

std::gamma_distribution<RealType>::operator() – std::gamma_distribution<RealType>::operator() Synopsis template <class Generator> (1)(since C++ 11) result_type operator()(Generator &g); template <class Generator> (2)(since C++ 11) result_type operator()(Generator &g, const param_type &params); Generates random numbers that are distributed according to the associated probability function. The entropy is acquired by calling g.operator(). The first version uses the associated parameter set, the second version…

std::gamma_distribution<RealType>::min – std::gamma_distribution<RealType>::min Synopsis result_type min() const; (since C++11) Returns the minimum value potentially generated by the distribution. Parameters (none) Return value The minimum value potentially generated by the distribution Complexity Constant. See also     returns the maximum potentially generated value max (public member function)

std::gamma_distribution<RealType>::max – std::gamma_distribution<RealType>::max Synopsis result_type max() const; (since C++11) Returns the maximum value potentially generated by the distribution. Parameters (none) Return value The maximum value potentially generated by the distribution. Complexity Constant. See also     returns the minimum potentially generated value min (public member function)

std::gamma_distribution<RealType>::gamma_distribution – std::gamma_distribution<RealType>::gamma_distribution Synopsis gamma_distribution() : gamma_distribution(1.0){}(1)(since C++ 11) explicit gamma_distribution(RealType alpha, RealType beta = 1.0); (2)(since C++ 11) explicit gamma_distribution(const param_type &params); (3)(since C++ 11) Constructs a new distribution object. (2) uses alpha and beta as the distribution parameters. (3) uses params as the distribution parameters. Parameters alpha – the α distribution parameter (shape)…

std::gamma_distribution<RealType>::alpha,beta – std::gamma_distribution<RealType>::alpha,beta Synopsis RealType alpha() const; (1) (since C++11) RealType beta() const; (2) (since C++11) Returns the distribution parameters the distribution has been constructed with. 1) Returns the α distribution parameter. It is also known as the shape parameter. The default value is 1.0. 2) Returns the β distribution parameter. It is also known…

std::gamma_distribution – std::gamma_distribution Synopsis Defined in header <random> template< class RealType = double > (since C++11) class gamma_distribution; Produces random positive floating-point values x, distributed according to probability density function: \(\mathsf{p}(x\mid\alpha,\beta) = \frac{e^{-x/\beta} }{\beta^\alpha\cdot\Gamma(\alpha)}\cdot x^{\alpha-1} \)P(x|α,β) =       e-x/β       βα       · Γ(α)       · xα-1 where α is known as the shape parameter and β is known…