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From "Ajo Fod (JIRA)" <>
Subject [jira] [Commented] (MATH-1124) Instances of AbstractRealDistribution require a random generator.
Date Tue, 07 Oct 2014 17:44:34 GMT


Ajo Fod commented on MATH-1124:

How about having a new class called Sampler that is initialized with random generator and
That way you can keep objects final. 

Looking through my code here, I don't use sampling nearly as often as the other functions
of a distribution (less than 1 in 20 times). Perhaps others can chime in what fraction of
times people use sampling on abstract real distributions.

> Instances of AbstractRealDistribution require a random generator.
> -----------------------------------------------------------------
>                 Key: MATH-1124
>                 URL:
>             Project: Commons Math
>          Issue Type: Bug
>            Reporter: Ajo Fod
> A couple of observations:
> ... The default random generator takes a while to instantiate. 
> ... Many functions of these distributions don't require a random generator. Generally
speaking only sampling requires it.
> So, why force the default constructor to initialize with a new random generator ... why
not use a global generic or simple generator? 
> Or do away with random generator except for sampling?
> This issue was observed with the TDistribution class , but it is probably applicable
to many classes as well. 

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