fitting equation with condition on 1 parameter
2 次查看(过去 30 天)
显示 更早的评论
采纳的回答
Matt J
2014-1-23
编辑:Matt J
2014-1-23
Here is a simple script for fitting a Gaussian f(z) = a*exp(-b*z^2) using LSQCURVEFIT subject to bounds a>=0, 0<=b<=7. You should run it, study it, and adapt it to your needs.
f=@(p,z) p(1)*exp(-p(2)*z.^2);
x=linspace(0,2,10);
y=f([1,2],x)+rand(size(x))/10; %simulated data
p=lsqcurvefit( f, [.5,.5], x,y, [0,0],[inf,7]); %perform fit
plot(x,y,'*', x, f(p,x)) ;
You should also, of course, read "doc lsqcurvefit" to understand the input syntax and know what additional options you have.
7 个评论
更多回答(2 个)
Amit
2014-1-23
You can use fmincon.
I would think that these a and b are from you previous post, where fminsearch were used. fmincon is similar to fminsearch but support bounds. More details on fmincon is here http://www.mathworks.com/help/optim/ug/fmincon.html
Alan Weiss
2014-1-23
编辑:Alan Weiss
2014-1-23
There are some documentation examples that show how to fit equations. Adding bound constraints is easy for lsqnonlin or lsqcurvefit.
Hope this helps,
Alan Weiss
MATLAB mathematical toolbox documentation
0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Least Squares 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!