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

  • 15 April 2021
  • 2 replies

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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)? 



Best answer by gdiepen 23 April 2021, 09:42

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2 replies

Userlevel 5
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Hi @sara62. No, that is not possible. (And I do not see how that would be useful.)

Userlevel 5
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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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