An inertial Fletcher–Reeves-type conjugate gradient projection-based method and its spectral extension for constrained nonlinear equations
Author:
Funder
National Natural Science Foundation of China
Guangxi Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12190-024-02062-y.pdf
Reference46 articles.
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2. Zhou, G., Toh, K.C.: Superlinear convergence of a Newton-type algorithm for monotone equations. J. Optim. Theory Appl. 125(1), 205–221 (2005)
3. Chen, Z., Cheng, W., Li, X.: A global convergent quasi-Newton method for systems of monotone equations. J. Appl. Math. Comput. 44(1), 455–465 (2014)
4. Zhou, W.J., Li, D.H.: A globally convergent BFGS method for nonlinear monotone equations without any merit functions. Math. Comput. 77(264), 2231–2240 (2008)
5. Fasano, G., Lampariello, F., Sciandrone, M.: A truncated nonmonotone Gauss-Newton method for large-scale nonlinear least-squares problems. Comput. Optim. Appl. 34, 343–358 (2006)
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