define a dummy decision variable for optimization problem
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Dear All,
i want to define a matrix "Ld" of decision variables whose the size of matix "Ld" is not fixed, it is a function on "m", wheares "m" is ,itself, one of the decision variables and could have any number from 1 : 3. thus, next matrix contains all possible elements of Ld
Ld = [x(1:j) ; x(j+1:2*j); x(2*j+1:3*j); x(3*j+1:4*j); x(4*j+1:5*j);x (5*j+1:6*j)]
Ld_L = Ld(1:m,1:j);
Ld_R = Ld(1+m : 2*m,1:j);
Ld has no any contribution in calculations. only Ld_L and Ld_R are participating on calculations
if m <3 then the rest of elements of Ld are not used
note, their are other decision variables with index starting from X(6*j + 1) but i dont mention them here.
my question is,what is the impact of the other elements of Ld, which are not used on calculation in case m < 3, but they are defined as deciosno variable for the optimization algorithm, since they are part of X matrix,
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Alan Weiss
el 9 de Jul. de 2020
It sounds to me as if the best approach is to solve three separate optimization problem, one for each value of m, and compare those three solutions.
Alan Weiss
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