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List:       jakarta-commons-dev
Subject:    [jira] Created: (MATH-414) ConvergenceException in
From:       "Gustav Ryd (JIRA)" <jira () apache ! org>
Date:       2010-08-31 11:02:55
Message-ID: 12009617.91351283252575411.JavaMail.jira () thor
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ConvergenceException in NormalDistributionImpl.cumulativeProbability()
----------------------------------------------------------------------

                 Key: MATH-414
                 URL: https://issues.apache.org/jira/browse/MATH-414
             Project: Commons Math
          Issue Type: Bug
    Affects Versions: 2.1
         Environment: Jdk 1.6.
            Reporter: Gustav Ryd
            Priority: Minor


I get a ConvergenceException in  NormalDistributionImpl.cumulativeProbability() for \
very large/small parameters including Infinity, -Infinity. For instance in the \
following code:

	@Test
	public void testCumulative() {
		final NormalDistribution nd = new NormalDistributionImpl();
		for (int i = 0; i < 500; i++) {
			final double val = Math.exp(i);
			try {
				System.out.println("val = " + val + " cumulative = " + \
nd.cumulativeProbability(val));  } catch (MathException e) {
				e.printStackTrace();
				fail();
			}
		}
	}

In version 2.0, I get no exception. 

My suggestion is to change in the implementation of cumulativeProbability(double) to \
catch all ConvergenceException (and return for very large and very small values), not \
just MaxIterationsExceededException.


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