[
https://issues.apache.org/jira/browse/MATH-1124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14162367#comment-14162367
]
Otmar Ertl commented on MATH-1124:
----------------------------------
@Ole Ersoy: For some distributions it is quite common to use multiple uniform
distributed random numbers to generate a single random number following the
given distributions (e.g normal distribution). Therefore, passing the random
number generator is a much better design choice.
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
