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From "Ole Ersoy (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MATH-1124) Instances of AbstractRealDistribution require a random generator.
Date Tue, 07 Oct 2014 19:14:34 GMT

    [ https://issues.apache.org/jira/browse/MATH-1124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14162338#comment-14162338
] 

Ole Ersoy commented on MATH-1124:
---------------------------------

How about: 

sample(double uniformRandomNumber)

> Instances of AbstractRealDistribution require a random generator.
> -----------------------------------------------------------------
>
>                 Key: MATH-1124
>                 URL: https://issues.apache.org/jira/browse/MATH-1124
>             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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