フィルターのクリア

writing fmincon funtion in matlab

1 回表示 (過去 30 日間)
dav
dav 2013 年 3 月 19 日
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);

採用された回答

Matt J
Matt J 2013 年 3 月 19 日
編集済み: Matt J 2013 年 3 月 19 日
fun=@(x) norm(C*x(:)-ytinitial)^2;
  5 件のコメント
Matt J
Matt J 2013 年 3 月 19 日
編集済み: Matt J 2013 年 3 月 19 日
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 2013 年 3 月 19 日
thank you very much Matt.

サインインしてコメントする。

その他の回答 (1 件)

Alan Weiss
Alan Weiss 2013 年 3 月 19 日
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 件のコメント
dav
dav 2013 年 3 月 19 日
編集済み: dav 2013 年 3 月 19 日
I did but, still couldn't figure it out!
I am having trouble writing the "fun" in x = fmincon(fun,x0,A,b)

サインインしてコメントする。

カテゴリ

Help Center および File ExchangeLinear Least Squares についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by