Decision Optimization

Decision Optimization

Delivers prescriptive analytics capabilities and decision intelligence to improve decision-making.


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  • 1.  Dual variables

    Posted 05/27/16 01:57 PM

    Originally posted by: Enrico77


    I have to solve a linear programming problem. I declared a part of the constraints as  the "lazy" ones, this allows me to reduce the execution time. For this reason, I have to change the LP problem into a MILP problem. Otherwise, I cannot use the lazy constraints,

     

    However, I need to get the dual variables. Finally, I would like (i) to use  the lazy constraints and (ii) to get the dual optimal variables.  

    I tried to use the CPXsetsolvecallbackfunc function whereby I can access to the root node. In fact, by means of CPXgetcallbacknodelp I can solve the model asking the dual variables, but this is not enough because the model is the pre-processed one.  If I disabled the pre-process, I would lose the effectiveness of the method. How could I do?


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  • 2.  Re: Dual variables

    Posted 05/28/16 05:47 PM

    You have already asked this question here.


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