Pyomo sum inside sum with various index












0














I would like to do this:



enter image description here



but I don't know exacly how, this is what I've tried:



def R2(model, da, gr, cu):
return sum(sum(model.Dap[asi, pe] for asi in model.A[asi, gr, cu]) for pe in model.Pd[pe, da]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)









share|improve this question





























    0














    I would like to do this:



    enter image description here



    but I don't know exacly how, this is what I've tried:



    def R2(model, da, gr, cu):
    return sum(sum(model.Dap[asi, pe] for asi in model.A[asi, gr, cu]) for pe in model.Pd[pe, da]) <= 1
    model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)









    share|improve this question



























      0












      0








      0







      I would like to do this:



      enter image description here



      but I don't know exacly how, this is what I've tried:



      def R2(model, da, gr, cu):
      return sum(sum(model.Dap[asi, pe] for asi in model.A[asi, gr, cu]) for pe in model.Pd[pe, da]) <= 1
      model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)









      share|improve this question















      I would like to do this:



      enter image description here



      but I don't know exacly how, this is what I've tried:



      def R2(model, da, gr, cu):
      return sum(sum(model.Dap[asi, pe] for asi in model.A[asi, gr, cu]) for pe in model.Pd[pe, da]) <= 1
      model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)






      pyomo






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 18 at 23:45

























      asked Nov 18 at 23:06









      Moltkerrimo

      11




      11
























          1 Answer
          1






          active

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          0














          I am not 100% I understand your mathematical formulation.



          Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.



          If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA, GR, CU, and the sets Pd and A are indexed over DA, GR, CU:



          equations system



          Then you should write



          def R2(model, d, g, c):
          return sum(sum(model.Dap[p] for a in model.A[g, c])
          for p in model.Pd[d]) <= 1

          model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)


          Otherwise, you should try to make the formulation more clear.






          share|improve this answer





















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            1 Answer
            1






            active

            oldest

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            I am not 100% I understand your mathematical formulation.



            Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.



            If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA, GR, CU, and the sets Pd and A are indexed over DA, GR, CU:



            equations system



            Then you should write



            def R2(model, d, g, c):
            return sum(sum(model.Dap[p] for a in model.A[g, c])
            for p in model.Pd[d]) <= 1

            model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)


            Otherwise, you should try to make the formulation more clear.






            share|improve this answer


























              0














              I am not 100% I understand your mathematical formulation.



              Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.



              If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA, GR, CU, and the sets Pd and A are indexed over DA, GR, CU:



              equations system



              Then you should write



              def R2(model, d, g, c):
              return sum(sum(model.Dap[p] for a in model.A[g, c])
              for p in model.Pd[d]) <= 1

              model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)


              Otherwise, you should try to make the formulation more clear.






              share|improve this answer
























                0












                0








                0






                I am not 100% I understand your mathematical formulation.



                Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.



                If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA, GR, CU, and the sets Pd and A are indexed over DA, GR, CU:



                equations system



                Then you should write



                def R2(model, d, g, c):
                return sum(sum(model.Dap[p] for a in model.A[g, c])
                for p in model.Pd[d]) <= 1

                model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)


                Otherwise, you should try to make the formulation more clear.






                share|improve this answer












                I am not 100% I understand your mathematical formulation.



                Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.



                If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA, GR, CU, and the sets Pd and A are indexed over DA, GR, CU:



                equations system



                Then you should write



                def R2(model, d, g, c):
                return sum(sum(model.Dap[p] for a in model.A[g, c])
                for p in model.Pd[d]) <= 1

                model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)


                Otherwise, you should try to make the formulation more clear.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 21 at 1:01









                Giorgio Balestrieri

                645




                645






























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