Structured diagonal Gauss–Newton method for nonlinear least squares
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-022-01774-w.pdf
Reference27 articles.
1. Awwal AM, Kumam P, Wang L, Yahaya MM, Mohammad H (2020) On the Barzilai–Borwein gradient methods with structured secant equation for nonlinear least squares problems. Optim Methods Softw pp 1–20. https://doi.org/10.1080/10556788.2020.1855170
2. Dehghani R, Mahdavi-Amiri N (2019) Scaled nonlinear conjugate gradient methods for nonlinear least squares problems. Numer Algorithm 82:1–20
3. Dennis JE, Schnabel RB Jr (1983) Numerical methods for unconstrained optimization and nonlinear equations. Prentice-Hall, New Jersey
4. Dolan ED, Moré JJ (2002) Benchmarking optimization software with performance profiles. Math Program Ser 91:201–213
5. Fletcher R, Reeves CM (1964) Function minimization by conjugate gradients. Comput J 7:149–154
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