Getting error In Code
Unable to perform assignment because dot indexing is not supported for variables of this type.
x=optimvar('x',3,'LowerBound',[0, 0, -inf],'UpperBound',[inf, inf, inf]);
Obj=(x(1)-(2 *x(2))+3*x(3));
A =x(1)+x(2)+x(3)<=7;
B =-x(1)+x(2)-x(3)<=2;
C =3*x(1)-x(2)-2*x(3)==-5;
Problem=optimproblem('Objective',Obj,'ObjectiveSense','maximize');
Problem.Constraints.con_1 = A;
Problem.Constraints.con_2 = B;
Problem.Constraints.con_3 = C;
x0.x=[0 0 0];
[sol,xfval,exitflag,output] = solve(Problem,x0)
Unable to perform assignment because dot indexing is not supported for variables of this type.
pls Guide me

3 Comments

Vivek
Vivek on 15 Sep 2022
Pls Guide me where i had made mistake
Code works for me here.
x=optimvar('x',3,'LowerBound',[0, 0, -inf],'UpperBound',[inf, inf, inf]);
Obj=(x(1)-(2 *x(2))+3*x(3));
A =x(1)+x(2)+x(3)<=7;
B =-x(1)+x(2)-x(3)<=2;
C =3*x(1)-x(2)-2*x(3)==-5;
Problem=optimproblem('Objective',Obj,'ObjectiveSense','maximize');
Problem.Constraints.con_1 = A;
Problem.Constraints.con_2 = B;
Problem.Constraints.con_3 = C;
x0.x=[0 0 0];
[sol,xfval,exitflag,output] = solve(Problem,x0)
Solving problem using linprog. The dual-simplex algorithm uses a built-in starting point; ignoring supplied X0. Optimal solution found.
sol = struct with fields:
x: [3×1 double]
xfval = 17.4000
exitflag =
OptimalSolution
output = struct with fields:
iterations: 1 constrviolation: 0 message: 'Optimal solution found.' algorithm: 'dual-simplex' firstorderopt: 8.8818e-16 solver: 'linprog'
sol.x
ans = 3×1
1.8000 0 5.2000
Jan
Jan on 15 Sep 2022
@Vivek: Please post the complete error message. Then we can see, in which line the code fails.

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Answers (1)

Walter Roberson
Walter Roberson on 15 Sep 2022
Edited: Walter Roberson on 15 Sep 2022

1 vote

you have an existing numeric variable named x0 and so you not permitted to assign to x0.x because numeric variables cannot use dot indexing.
This is the kind of problem that using functions instead of scripts is designed to solve.

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Asked:

on 15 Sep 2022

Edited:

on 15 Sep 2022

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