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I had a chance to look at this, and it's an issue with floating point error causing a check to fail. I've increased the tolerance for round off error a little bit in that check. So, you can download the new version either from Ultralisp or Github directly, and your code should work.
Alternatively, if all of the values are rationals instead of floats, it should also work.
Thanks for bringing this to my attention (plus another bug that I found while debugging). Let me know if it's still failing.
Hi,
I'm trying to solve the Stigler Diet problem using this library. For the definition of the problem as well as the code in Python, please see https://developers.google.com/optimization/lp/glop
I'm using the 2019-11-30 version of this library from Quicklisp.
When I try to run the code below, the error
UNBOUNDED-PROBLEM-ERROR
is signaled. Am I defining the problem incorrectly?The text was updated successfully, but these errors were encountered: