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python scipy optimize minimize
Subject of the issue
I am using scipy optimize minimize (method = 'SLSQP') to solve an optimization issue. It turns out that the results violate some of the constraints. Is it because the algo SLSQP encoded in scipy optimize minimize function does not necessarily follow the constraints strictly? Should I consider using method = 'trust-constr' instead or do you have any other suggestions?