I'm using mathematica 5.0, and trying to perform the following minimization:
I have a set of data (x,y) to fit with a non linear equation:
x = (y/a) + b/a ( ln(y0 /(y0-y) ) )
Where y0 = 0.000250, and a,b are the parameters to optimize.
First guess values for a= 0.000003 , b= 0.000034
The minimization should be obtained by minimizing the SUM(xexp - xcalc)^2
the exp data are of the type:
The way I implemented this is following the guidelines of one of your posted questions, these are the exact steps I did and the Mathematica response: first I write the guessed parameters (a,b) and generate with the equation a table of data, to see if the equation is well understood by the software. Then I try to fit the data generated with the equation by varying the data (a,b). Here I got errors.