Hi, I am wondering if it is possible to set a specific value for the best LP bound of a Mathematical program (before executing the Mathematical programof course)?
Thanks
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How can I set a specific value to the Best LP bound before running the model?
+1Best answer by gdiepen
Would you not be able to simulate this by just adding a new constraint before solving the MIP stating
objective >= bound_you_have_for_LP
This way you would enforce the LP relaxation value to be at least >= bound
Only real usecase I could see for this is if you have a formulation that has a bad relaxation and somehow you are able to provide more informative bounds on the initial relaxation?
+4Hi
+7Would you not be able to simulate this by just adding a new constraint before solving the MIP stating
objective >= bound_you_have_for_LP
This way you would enforce the LP relaxation value to be at least >= bound
Only real usecase I could see for this is if you have a formulation that has a bad relaxation and somehow you are able to provide more informative bounds on the initial relaxation?
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