Dear all! As is mentioned in the title, I have to perform a surface fit to figure out coefficients of an analytical model. The equation describing the model in Matlab syntax is shown as follows:
JordanMdl=@(K,B,f) K(1).*(f./f0).*(B./B0).^2+K(2).*(f./f0).^2.*(B./B0).^2;
B,f are two inputs variables, whereas B0 and f0 are known constants. K(1),K(2) are the coefficients to be determined. In short, JordanMdl=f(B,f). I tried to use the built-in function lsqcurvefit, but one variable must be deactivated to let it run(e.g. f, and thus JordanMdl=f(B)), and the coefficients that were figured out differed greatly for different values of this deactivated variable. Apparently, curve fitting can only take one input while matching the random data points, and does not serve my purpose well. I wonder if there is any handy built-in functions/algorithum that can fulfill this purpose. Thanks a lot!
