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https://issues.apache.org/jira/browse/MATH-701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13143322#comment-13143322
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Phil Steitz commented on MATH-701:
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I agree that there is a problem here; but I would solve it in
AbstractContinuousDistribution by passing a seeded generator to the
RandomDataImpl constructor. The code above is for the default case where no
generator has been supplied or set. For sampling, a Well generator would be a
better choice.
> Seeding a default RNG
> ---------------------
>
> Key: MATH-701
> URL: https://issues.apache.org/jira/browse/MATH-701
> Project: Commons Math
> Issue Type: Bug
> Reporter: Gilles
> Assignee: Gilles
> Fix For: 3.0
>
>
> In "RandomDataImpl":
> {code}
> private RandomGenerator getRan() {
> if (rand == null) {
> rand = new JDKRandomGenerator();
> rand.setSeed(System.currentTimeMillis());
> }
> return rand;
> }
> {code}
> The conditional branch is used by "sample()" in
> "AbstractContinuousDistribution".
> When several "...Distribution" objects are instantiated in a short time
> interval, they are seeded with the same value.
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