writing fmincon funtion in matlab

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dav
dav on 19 Mar 2013
Hi, Can someone please elp me to do the following optimization problem unsin FMINCON . I have a hard time writng the function that is used in FMINCON.
Thanks
clc;
clear;
p=1;
a0 = 0.1; a1 = 0.4;
epsi=zeros(3000,1);
simsig=zeros(3000,1);
for i = 1:3000
if (i==1)
simsig(i) = a0/(1-a1);
s=(simsig(i))^0.5;
epsi(i) = normrnd(0,1) * s;
elseif (i==2)
epsi(i)=epsi(1);
else
simsig(i) = a0+ a1*(epsi(i-1))^2;
s=(simsig(i))^0.5;
epsi(i) = normrnd(0,1) * s;
end
end
yt1=epsi.^2;
ytinitial=yt1(2001:3000);
y=yt1(2001:3000);
len = length(ytinitial);
C = zeros(len,p+1);
C(:,1) = 1; %The first column is for a0
for i = 1:p %Then create shifted columns ( p in number ) for a
C(1+i:len,1+i) = y(1:len-i,1);
end
options =optimset('Display','off','LargeScale','off');
coef = lsqlin(C,ytinitial,[0 1],1,[],[],[0;0],[1;1],[],options);
alpha0 =coef(1);
ar1=coef(2);

Accepted Answer

Matt J
Matt J on 19 Mar 2013
Edited: Matt J on 19 Mar 2013
fun=@(x) norm(C*x(:)-ytinitial)^2;
  5 Comments
Matt J
Matt J on 19 Mar 2013
Edited: Matt J on 19 Mar 2013
I would expect LSQLIN to perform better than FMINCON, at least in terms of speed, because FMINCON has less knowledge of the problem structure, i.e., it doesn't know the problem is linear least squares.
dav
dav on 19 Mar 2013
thank you very much Matt.

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More Answers (1)

Alan Weiss
Alan Weiss on 19 Mar 2013
Check out the definition of the objective function right at the top of the lsqlin function reference page. This should enable you to write the fmincon equivalent, though I do not know why you would want to do so.
Alan Weiss
MATLAB mathematical toolbox documentation
  1 Comment
dav
dav on 19 Mar 2013
Edited: dav on 19 Mar 2013
I did but, still couldn't figure it out!
I am having trouble writing the "fun" in x = fmincon(fun,x0,A,b)

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