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Fitting Nature's Basic Functions Part IV: The Variable Projection Algorithm
March/April 2003 (vol. 5 no. 2)
pp. 74-79
Bert W. Rust, National Institute of Standards and Technology

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.

Citation:
Bert W. Rust, "Fitting Nature's Basic Functions Part IV: The Variable Projection Algorithm," Computing in Science and Engineering, vol. 5, no. 2, pp. 74-79, March-April 2003, doi:10.1109/MCISE.2003.1182965
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