[SCIP] How to add operators on variables in a constraint

[sakib mondal]

Thanks Matthias.

Is  there  a similar way to add operators on variables in the objective function.

For example,
 model.setObjective(quicksum(exp(x[i]) for i in I), "minimize")


Thanks a lot.

Regards


________________________________
From: Matthias Miltenberger <miltenberger at zib.de>
Sent: Friday, April 7, 2017 4:40 PM
To: sakib mondal; scip at zib.de
Subject: Re: [SCIP] How to add operators on variables in a constraint

Dear Sakib,

this constraint type is currently not yet supported by PySCIPOpt. You would need to write a new Conshdlr class that implements `exp()`. This might be a good starting point: https://github.com/SCIP-Interfaces/PySCIPOpt/blob/master/tests/test_tsp.py
[https://avatars3.githubusercontent.com/u/19473229?v=3&s=400]<https://github.com/SCIP-Interfaces/PySCIPOpt/blob/master/tests/test_tsp.py>

SCIP-Interfaces/PySCIPOpt<https://github.com/SCIP-Interfaces/PySCIPOpt/blob/master/tests/test_tsp.py>
github.com
PySCIPOpt - Python interface for the SCIP Optimization Suite




all the best
Matthias

On 07.04.2017 17:15, sakib mondal wrote:

Hi,


I am trying to use scip solver where one of the constraints need exponentiation of a variable.  For example,


        model.addCons(quicksum(exp(x[i]) for i in I) ==1, name="constraint")

Wondering what would be possible ways to add this.

I tried searching for such examples, but could not find any.

Would appreciate any help. I am using pyscipopt.

Regards
Sakib





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Matthias Miltenberger
Zuse Institute Berlin
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