[ https://issues.apache.org/jira/browse/MATH-924?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Gilles reopened MATH-924: ------------------------- > 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 > Fix For: 3.1.1 > > Attachments: MATH-924 > > > 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. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira