std::gamma_distribution
From cppreference.com
                    
                                        
                    
                    
                                                            
                    |   Defined in header  
<random>
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|   template< class RealType = double > 
class gamma_distribution;  | 
(since C++11) | |
Produces random positive floating-point values x, distributed according to probability density function:
- 
P(x|α,β) = 
· xα-1e-x/β 
βα 
· Γ(α)
 
where α is known as the shape parameter and β is known as the scale parameter.
For floating-point α, the value obtained is the sum of α independent exponentially distributed random variables, each of which has a mean of β
std::gamma_distribution satisfies RandomNumberDistribution
Contents | 
[edit] Template parameters
| RealType | - |   The result type generated by the generator. The effect is undefined if this is not one of float, double, or long double.
 
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[edit] Member types
| Member type | Definition | 
  result_type
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RealType | 
  param_type
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  the type of the parameter set, see RandomNumberDistribution.
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[edit] Member functions
|   constructs new distribution  (public member function)  | 
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|    resets the internal state of the distribution   (public member function)  | 
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 Generation | 
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|    generates the next random number in the distribution   (public member function)  | 
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 Characteristics | 
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|    returns the distribution parameters   (public member function)  | 
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|    gets or sets the distribution parameter object   (public member function)  | 
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|    returns the minimum potentially generated value  (public member function)  | 
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|    returns the maximum potentially generated value   (public member function)  | 
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[edit] Non-member functions
|     compares two distribution objects   (function)  | 
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|    performs stream input and output on pseudo-random number distribution   (function template)  | 
[edit] Example
| This section is incomplete Reason: no example  | 
[edit] External links
Weisstein, Eric W. "Gamma Distribution." From MathWorld--A Wolfram Web Resource.