Login Register

std::lognormal_distribution::lognormal_distribution

explicit lognormal_distribution( RealType m = 0.0, RealType s = 1.0 );	(1)	(since C++11)
explicit lognormal_distribution( const param_type& params );	(2)	(since C++11)

Constructs a new distribution object. The first version uses m and s as the distribution parameters, the second version uses params as the distribution parameters.

Parameters

m	-	the m distribution parameter (log-scale)
s	-	the s distribution parameter (shape)
params	-	the distribution parameter set

Links:

http://en.cppreference.com/w/cpp/numeric/random/lognormal_distribution/lognormal_distribution

doc_CPP

2016-10-11 10:04:28

Comments

Leave a Comment

Please login to continue.

Popular Articles

std::lognormal_distribution Defined in header <random> template< class RealType = double > class lognormal_distribution; (since C++11) The lognormal_d

std::lognormal_distribution::max result_type max() const; (since C++11) Returns the maximum value potentially generated by the distribution. Parameters (none). Return va

std::lognormal_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()

operators (std::lognormal_distribution) template< class ResultType > bool operator==( const lognormal_distribution<ResultType>& lhs, const lognormal_distri

std::lognormal_distribution::m RealType m() const; (1) (since C++11) RealType s() const; (2) (since C++11) Returns the parameters the distribution was constructed wit