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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.