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