Hi, I have x and y variables data arrays. These two variables are assumed to be related as y = A * exp(x/B). Now, I wanted to use Levenberg-Marquardt non-linear least-squares fitting to find A and B for the best fit of the data. Can anyone suggest me how I can proceed with the same. My intention is to obtain A and B for best fit.
Look forward to your suggestions and sample code as an example. Thanks and regards, Madhavan -- https://mail.python.org/mailman/listinfo/python-list
