Structured Two-Point Stepsize Gradient Methods for Nonlinear Least Squares
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Link
http://link.springer.com/content/pdf/10.1007/s10957-018-1434-y.pdf
Reference49 articles.
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3. Li, J., Ding, F., Yang, G.: Maximum likelihood least squares identification method for input nonlinear finite impulse response moving average systems. Math. Comput. Model. 55(3–4), 442–450 (2012)
4. Hartley, H.O.: The modified Gauss–Newton method for the fitting of non-linear regression functions by least squares. Technometrics 3(2), 269–280 (1961)
5. Levenberg, K.: A method for the solution of certain non-linear problems in least squares. Q. Appl. Math. 2(2), 164–168 (1944)
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