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

댓글 수: 3

Vivek
Vivek 2022년 9월 15일
Pls Guide me where i had made mistake
Walter Roberson
Walter Roberson 2022년 9월 15일
편집: Walter Roberson 2022년 9월 15일
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 2022년 9월 15일
@Vivek: Please post the complete error message. Then we can see, in which line the code fails.

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답변 (1개)

Walter Roberson
Walter Roberson 2022년 9월 15일
편집: Walter Roberson 2022년 9월 15일

1 개 추천

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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2022년 9월 15일

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2022년 9월 15일

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