std::floor

Defined in header <cmath> float floor( float arg ); (1) double floor( double arg ); (2) long double floor( long double arg ); (3) double floor( Integral arg ); (4) (since C++11) 1-3) Computes the largest integer value not greater than arg. 4) A set of overloads or a function template accepting an argument of any integral type. Equivalent to 2) (the argument is cast to double). Parameters arg - floating point value Return val

std::float_round_style

Defined in header <limits> enum float_round_style { round_indeterminate = -1, round_toward_zero = 0, round_to_nearest = 1, round_toward_infinity = 2, round_toward_neg_infinity = 3 }; Enumeration constants of type std::float_round_style indicate the rounding style used by floating-point arithmetics whenever a result of an expression is stored in an object of a floating-point type. The values are: Enumeration constants Name

std::fixed

Defined in header <ios> std::ios_base& fixed( std::ios_base& str ); (1) std::ios_base& scientific( std::ios_base& str ); (2) std::ios_base& hexfloat( std::ios_base& str ); (3) (since C++11) std::ios_base& defaultfloat( std::ios_base& str ); (4) (since C++11) Modifies the default formatting for floating-point input/output. 1) Sets the floatfield of the stream str to fixed as if by calling str.setf(std::ios_base::fixed, std::

std::fisher_f_distribution::reset

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::fisher_f_distribution::m

RealType m() const; (1) (since C++11) RealType n() const; (2) (since C++11) Returns the parameters the distribution was constructed with. 1) Returns the m (the first degree of freedom) distribution parameter. The default value is 1.0. 2) Returns the n (the second degree of freedom) distribution parameter. The default value is 1.0. Parameters (none). Return value 1) The m (the first degree of freedom) distribution parameter. 2) The n (the second degree of freedom) distrib

std::fisher_f_distribution::min

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 max returns the maximum potentially generated value (public member function)

std::fisher_f_distribution::param

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 set. 2) (none). Complexity Constant.

std::fisher_f_distribution::max

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 min returns the minimum potentially generated value (public member function)

std::fisher_f_distribution

Defined in header <random> template< class RealType = double > class fisher_f_distribution; (since C++11) Produces random numbers according to the f-distribution: p(x;m,n) = Γ((m+n)/2) Γ(m/2) Γ(n/2) (m/n)m/2 x(m/2)-1 (1+ mxn )-(m+n)/2 m and n are the degrees of freedom. std::fisher_f_distribution satisfies all requirements of RandomNumberDistribution. Template parameters RealType - The result type generated by the generator. The effect is undefined i

std::fisher_f_distribution::fisher_f_distribution

explicit fisher_f_distribution( RealType m = 1.0, RealType n = 1.0 ); (1) (since C++11) explicit fisher_f_distribution( const param_type& params ); (2) (since C++11) Constructs a new distribution object. The first version uses m and n as the distribution parameters, the second version uses params as the distribution parameters. Parameters m - the m distribution parameter (degrees of freedom) n - the n distribution parameter (degrees of freedom) params - the