Multiple datasets, lsqcurvefit function?
1 次查看(过去 30 天)
显示 更早的评论
Hi, I have the following problem ydata=[1:1:10]; xdata=[0.1:0.1:1]; zdata=[10:10:100];
ydata=1+(A+B*xdata*(1-xdata)^C*exp(-D*zdata))
Could lsqcurvefit method be used for this type of correlation to determine A;B;C;D coefficients? If not, there is other algorithm? Thank you
0 个评论
采纳的回答
Shashank Prasanna
2013-8-8
LSQCURVEFIT is well suited for this type of problems:
>> y=[1:1:10]'; x=[0.1:0.1:1]'; z=[10:10:100]';
>> yFun = @(c,xdata) 1 + (c(1)+c(2)*xdata(:,1).*(1-xdata(:,1)).^c(3).*exp(-c(4)*xdata(:,2)))
>> lsqcurvefit(yFun,zeros(4,1),[x z],y)
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Web Services 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!