0

因此，我使用以下代码优化了我的功能：

function [fval, z, Z, x] = fCarterFunction

%Searches parameter space for the best values given the model and LSE

A = [];
b = [];
Aeq = [];
beq =[]; 
options = optimset('Display','iter', 'Algorithm', 'interior-point');
options.MaxFunEvals = 100000;
options.MaxIter = 100000;
[pOPT, fval] = fmincon(@(p)fRSS(p),[.01 .01 .01],A, b, Aeq, beq, 0, 1, [], options);

z = pOPT(1);
Z = pOPT(2);
x = pOPT(3);

end

这个问题是，当我在我的函数上运行它时，它返回以下内容：

Warning: Length of lower bounds is < length(x); filling in missing lower bounds with -   Inf. 
> In checkbounds at 34
In fmincon at 332
In fCarterFunction at 12
In RunRSSfunc at 1
In run at 64 
Warning: Length of upper bounds is < length(x); filling in missing upper bounds with +Inf. 
> In checkbounds at 48
In fmincon at 332
In fCarterFunction at 12
In RunRSSfunc at 1
In run at 64

我不明白的是，我为以前的数据集运行了这个，我没有遇到任何问题。现在，matlab 正在替换我的上限和下限。有谁知道如何解决这一问题？如果您需要查看实际迭代数据的其他函数，然后通过最小二乘技术将模拟与实际进行比较，请告诉我。谢谢！

4

1 回答 1

1

As @grantnz points out try:

[pOPT, fval] = fmincon(@(p)fRSS(p),[.01 .01 .01],A, b, Aeq, beq, [0 0 0], [1 1 1], [], options);

fmincon expects values of upper/lower for all variables.

于 2013-08-26T07:43:38.743 回答