How can I set a specific value to the Best LP bound before running the model?

Question

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

gdiepen · Accepted Answer

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?

Marcel Hunting · Answer

Hi@sara62. No, that is not possible. (And I do not see how that would be useful.)

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