Lab #2 – nonlinear regression

In this lab, each student is to develop code to calculate a nonlinear regression fit. Note

you may not call a single high-level function in MATLAB or another package to do the

fitting; you must implement the root finding method discussed in class. The code can be

developed in MATLAB, C, or any high level language.

The fitting should be run on the following three data files log-data-A, log-data-B and

log-data-C, found at: http://www.cecas.clemson.edu/~ahoover/ece854/labs/. In each

file the two columns of the data are xi

, yi

.

The data follows a problem outlined in class and in the lecture notes. Fit a function of

the form y = ln(ax) where a is the unknown.

The report should derive the math required for the nonlinear regression. It should show

plots of the data for each file. It should also report the initial value of a used to start the

regression, final value of a found at the end of the regression, and number of iterations needed

to converge. You are encouraged to try different initial values of a to observe its effect on

convergence.

The lab due date is given at the class web site. You must submit your code (as an

attachment) and report (as an attachment) to [email protected] Use as subject

header ECE8540-1,#2. This email is due by midnight of the due date.

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# Lab #2 – nonlinear regression

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