Decision Optimization

Decision Optimization

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

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  • 1.  issue with CPLEX in Matlab R2015b, cplexoptimset

    Posted Fri October 23, 2015 07:42 PM

    Originally posted by: MM87


    Hi everyone, I'd like to report an issue with CPLEX settings in Matlab. When I build the structure with all CPLEX settings, I have a series of errors related to the mex file.

     

    >> my_options = cplexoptimset('cplex');
    Warning: The function 'cplexlink1262' returned an mxArray with non-temporary scope.
    > In cplexoptimset/setCplexOptions
      In cplexoptimset/setCplexOptions
      In cplexoptimset
    Warning: The function 'cplexlink1262' returned an mxArray with non-temporary scope.
    > In cplexoptimset/setCplexOptions
      In cplexoptimset/setCplexOptions
      In cplexoptimset/setCplexOptions
      In cplexoptimset

    ... and more than one hundred of nearly identical warnings. Apart from that, the solver works well (at least the quadratic programming part). Any fix available?



    Linux x86_64 (Ubuntu 14.04.3 LTS)

    CPLEX 12.6.2

    Matlab 2015b


    #CPLEXOptimizers
    #DecisionOptimization


  • 2.  Re: issue with CPLEX in Matlab R2015b, cplexoptimset

    Posted Fri October 23, 2015 08:03 PM

    According to the detailed system requirements (see the "supported software" tab) for 12.6.2, 2015b is not supported.  If possible, you should try a supported version of MATLAB instead.

     


    #CPLEXOptimizers
    #DecisionOptimization


  • 3.  Re: issue with CPLEX in Matlab R2015b, cplexoptimset

    Posted Mon October 26, 2015 04:25 PM

    Originally posted by: MM87


    I see. Any hope R2015b support will be implemented soon?

    Thank you!


    #CPLEXOptimizers
    #DecisionOptimization


  • 4.  Re: issue with CPLEX in Matlab R2015b, cplexoptimset

    Posted Tue October 27, 2015 11:49 AM

    I've recorded your request as a user wish in our issue tracking system.  I think it's reasonable to assume that, going forward, new versions of MATLAB will be supported (but we cannot make promises about future releases).  You could also submit a request in the RFE community, if you like.  The advantage of the later is that other users can see it and vote for it.

     


    #CPLEXOptimizers
    #DecisionOptimization