Can someone help with nonlinear optimization with constraints? (i've tried tutorials with no luck)

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Hi, I've been working on a hw assignment for a while trying to self teach optimization and its proving difficult. I have to minimize the function x1^3-6x1^2+11x1+x3 with the following constraints:
x1^2+x2^2-x3^2<=0 4-x1^2-x2^2-x3^2<=0 x3-5<=0 -x1<=0 -x2<=0 -x3<=0 the starting feasible point is .1,.1,3 So far, by looking at the tutorials I've come up with this coding, but I'm getting an error message about the function definition, saying "x and fval may not be used". Also, the code runs and in the command window k>> appears. Any help would be appreciated.
function f=mae342hw5p2(x) f=x1.^3-6.*x1.^2+11.*x1+x3; function [c,ceq]=confun(x) c=[ x1^2+x2^2-x3^2; 4-x1^2-x2^2-x3^2; x3-5;-x1;-x2;-x3]; ceq = []; x0=[.1 .1 3]; options=optimset('Algorithm','active-set'); [x,fval]=... fmincon(@mae342hw5p2,x0,[],[],[],[],[],[],@confun,options);

Réponse acceptée

Jing
Jing le 25 Fév 2013
The input of every function includes 'x', but there's no x in the function body. Actually, you should write your function as follows:(and it's a bit weird without x(2) in your target function...)
function f=mae342hw5p2(x)
f=x(1).^3-6.*x(1).^2+11.*x(1)+x(3);
For the constraints, it's better to separate the linear and non-linear constraints, which makes the non-linear constraints function to be:
function [c,ceq]=confun(x)
c=[ x(1)^2+x(2)^2-x(3)^2; 4-x(1)^2-x(2)^2-x(3)^2];
ceq=[];
the linear constraints can be set by upper and lower boundary when you call fmincon: lb=[-Inf,-Inf,0];ub=[0,0,5];
Hope you understand!

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