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Re: angry FindMinimum


In fact, that error message is generated because the minimum on this
example is angular, non derivable. If a bit of noise is added to the
data matrix U, the minimum is smooth and FindMinimum works fine.

The real problem comes when the dimensions of U is a lot larger, like
100x10 times. This is when the Kernel gets stuck, using all the memory
available.
Thanks for any help.


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