Multiple datasets, lsqcurvefit function?
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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
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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)
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2013-8-8
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