Unbounded objective
ユーザーの入力を待っています。I'm solving a minimization problem where the objective function is the sum of two 1-norms of vectors and there are no constraints. The log indicates a lot of nodes are being "postponed", before eventually stopping and giving an objective function of some massive number, usually around 1e31. The log then says "model unbounded" and "unbounded objective function". However, I can't understand how this can be possible as it is clearly bounded below by 0. Also, when I check value(objective), it returns a much more realistic value, usually around 10. Does someone have a possible reason for these discrepancies?
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Hi Jason,
This sounds like your model suffers from severe numerical issues. Please have a look at Does my model have numerical issues?
Could you also post the log of the run? This would make it easier to investigate the problem.
Best regards,
Jaromił0
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