On Fitting Exponentials by Nonlinear Least Squares

This paper is concerned with the problem of fitting discrete data, or a continuous function, by least squares using exponential functions. We examine the questions of uniqueness and sensitivity of the best least squares solution, and provide analytic and numerical examples showing the possible non-uniqueness, and extreme sensitivity of these solutions.