C++11 random chi_squared_distribution


C++11 random chi_squared_distribution

The C++11 random chi_squared_distribution produces random numbers x>0 using the respective discrete probability function of the distribution-the function is shown at the end of the post.The distribution class declaration is shown below.

template<class RealType = double>
class chi_squared_distribution;

The class default type is double type and note this distribution can generate only floating point type values or real numbers.

The distribution is based on the the chi_squared_distribution of the probability distribution.

Link :https://en.wikipedia.org/wiki/Chi-squared_distribution

The types and member functions of the class is shown below.

Types

typedef RealType result_type;
typedef unspecified param_type;

The RealType is a type definition of the template type and the param_type is a structure but note the definition of the param_type will alter from compiler to compiler.

Constructors and reset function

explicit chi_squared_distribution(RealType n = 1);
explicit chi_squared_distribution(const param_type& parm);
void reset( );

The first constructor accepts a parameter name ‘n’ whose default value is 1.The default value will be same in all the compiler.And the use of this parameter is to evaluate the probability of the random values in the distribution.The relation 0 < n on ‘n’ should hold.

The second constructor accept param_type object and in this case the value ‘n’ is initialized from the ‘n’ value of the param_type object-the param_type also accept a parameter name ‘n’.

Code example

chi_squared_distribution< >csd ;

chi_squared_distribution<float > csd1;

chi_squared_distribution< float >::param_type pt( 560 ) ;

chi_squared_distribution< long double > csd2(pt) ; //error! , type of pt is float but type of csd2 is double type

reset( )

The reset( ) function reset the distribution state.


 


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Generating functions

template<class URNG>
result_type operator( )(URNG& g);
template<class URNG>
result_type operator( )(URNG& g, const param_type& parm);

the first operator() function

The generated random sequence is obtained using the operator() function.The first overloaded operator() accept URNG(Uniform Random Number Generator) or engine.

Code example

chi_squared_distribution< >csd ;

default_random_engine dre ;

cout<< csd(dre) << ” ” << csd(dre) << endl ;

Output in Code::Blocks,

0.184795   0.958422

the second operator( ) function

The second overloaded operator( ) function accept URNG and param_type object.

Link : C++11 random knuth_b

Code example

chi_squared_distribution< float >csd ;

chi_squared_distribution< float >::param_type pt( 560 ) ;

knuth_b kb ; //an engine

cout<< csd(kb , pt) << ” ” << csd(kb , pt) << endl ;

Output in Code::blocks,

537.482   553.337


Property functions

RealType n() const;
param_type param() const;
void param(const param_type& parm);
result_type min() const;
result_type max() const;

n() function

This function returns the ‘n’ value of the distribution.

Code example

chi_squared_distribution< >csd ,
csd1( 900 );

cout<< csd.n() << endl
<< csd1.n() ;

Output,

1
900

param()

This function returns the param_type object.

Code example

chi_squared_distribution< >csd( 123 );

cout<< csd.param().n() << endl ;

Output,

123

param(param_type)

Using this function we can change the ‘n’ value of the distribution to the ‘n’ value of the param_type object by passing the param_type object.

Code example

chi_squared_distribution<float > csd(5000 );

cout<< csd.n() << endl ;

chi_squared_distribution< float >::param_type pt( 56.01 ) ;

csd.param( pt );

cout<< csd.n() ;

Output,

5000
56.01

min() function

The min() returns the smallest value the distribution can generate,which is the value 0.

Code example

chi_squared_distribution<float > csd(5000 );

cout<< csd.min( );

Output,

0

max() function

The max() returns the largest value the distribution can generate.It returns the value of numeric_limits<result_type>::max().

Code example

chi_squared_distribution<float > csd( 5000 );

cout<< csd.max( );

Output,

3.40282e+038


*Side Note

chi_squared_distribution produces random numbers x distributed according to the probability density function,

chi_squared_distribtion probability function