Not enough input arguments

All input variables are provided for in the code below, but still running it gives the "Not enough input arguments" error message. Can anyone help out?

PS: the function is doing nonlinear least squares of a weighted average of variables (x(2) and x(3))

function F = myfun2(x,n,cn);

F = @(x,n,cn)x(1)+n.*log(1+(1-exp(-cn))*x(2)+exp(-cn)*x(3));

FW=inline(char(F));

x=[0 0 0]

n=1:7

cn=0.5

ct=1

Fut=[5 4.9 4.8 4.65 4.5 4.3 4.05]

[x,resnorm] = lsqcurvefit(myfun2,x,n'-1-ct/12,Fut')

Answer 1

[Elad]

Hey, From matlab help it seems that

lsqcurvefit is a function of ( fun , x , xdata , ydata ) where fun is a function of ( x , xdata )

your myFun2 is a function of 3 input arguments .. not 2

another quick tip you might use, you dont have to create myFun2 as a function, you can write as a function handle

cn = 0.5; myFun2 = @(x,n)x(1)+n.*log(1+(1-exp(-cn))*x(2)+exp(-cn)*x(3));

Answer 2

[Bahloul Derradji]

Try this code. It works.

the user defined function in a separate file named : myfun.m

function F = myfun(x,xdata,c)

F = x(1)*exp(c*xdata)+x(2)

end

the main script:

xdata = [3; 1; 4]; % example xdata

ydata = 6*exp(-1.5*xdata)+3; % example ydata

c = -1.5; % define parameter

x = lsqcurvefit(@(x,xdata) myfun(x,xdata,c),[5;1],xdata,ydata)

Good luck!