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https://issues.apache.org/jira/browse/MATH-701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13144170#comment-13144170
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Phil Steitz commented on MATH-701:
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I thought about changing the default seeding in AbstractWell and agree that
would be a good idea. I still like to supply the seed explicitly and document
it in RandomDataImpl, though, so users of that class know exactly what they are
getting by default. There is a little wrinkle here, too that keeping the
seeding expressed and documented in RandomDataImpl makes easier to keep track
of. If we ever implement hashcode in RandomDataImpl (or the Well generators),
things could get messed up if it does not separate generator instances the way
the system identity haschcode does.
> 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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