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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