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https://issues.apache.org/jira/browse/MATH-197?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12722346#action_12722346
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Eugene Kirpichov commented on MATH-197:
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I have had a look at the source and it looks like the method is already
implemented, so the bug should probably be closed?
> RandomDataImpl.nextPoisson() is extreme slow for large lambdas
> --------------------------------------------------------------
>
> Key: MATH-197
> URL: https://issues.apache.org/jira/browse/MATH-197
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 1.0, 1.1, 1.2
> Environment: jdk1.6.0_04, windows xp
> Reporter: Tolja Zubow
> Assignee: Brent Worden
> Fix For: 2.0
>
>
> The RandomDataImpl.nextPoisson() is extreme slow for large lambdas:
> E.g. drawing 100 random numbers with lambda = 1000 takes around 10s on my
> dual core with 2.2GHz.
> With lambda smaller than 500 everything is fine. Any ideas?
> RandomDataImpl r = new RandomDataImpl();
> r.reSeed(101);
> int d = 100;
> long poissonLambda = 1000;
> long st = System.currentTimeMillis();
> for (int row = 0; row < d; row++) {
> long nxtRnd = r.nextPoisson(poissonLambda);
> }
> System.out.println("delta " + (System.currentTimeMillis() - st));
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