Issue No. 02 - March/April (2003 vol. 5)
Bert W. Rust , National Institute of Standards and Technology
<p>In the previous installments, we described linear and nonlinear least squares calculations. The latter are considerably more difficult than the former. We will now examine the variable projection algorithm, which often greatly simplifies nonlinear least squares calculations because it does not require iteration on parameters that appear linearly in the model. </p>
B. W. Rust, "Fitting Nature's Basic Functions Part IV: The Variable Projection Algorithm," in Computing in Science & Engineering, vol. 5, no. , pp. 74-79, 2003.