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From "Luc Maisonobe (JIRA)" <j...@apache.org>
Subject [jira] [Created] (MATH-924) new multivariate vector optimizers cannot be used with large number of weights
Date Fri, 28 Dec 2012 19:14:12 GMT
Luc Maisonobe created MATH-924:
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             Summary: new multivariate vector optimizers cannot be used with large number
of weights
                 Key: MATH-924
                 URL: https://issues.apache.org/jira/browse/MATH-924
             Project: Commons Math
          Issue Type: Bug
            Reporter: Luc Maisonobe
            Priority: Critical


When using the Weigth class to pass a large number of weights to multivariate vector optimizers,
an nxn full matrix is created (and copied) when a n elements vector is used. This exhausts
memory when n is large.

This happens for example when using curve fitters (even simple curve fitters like polynomial
ones for low degree) with large number of points. I encountered this with curve fitting on
41200 points, which created a matrix with 1.7 billion elements.

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