A hybrid BB-type method for solving large scale unconstrained optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s12190-022-01826-8.pdf
Reference43 articles.
1. Bottou, L., Curtis, F.E., Nocedal, J.: Optimization methods for large-scale machine learning. SIAM Rev. 62, 223–311 (2018)
2. Jiang, X.Z., Liao, W., Yin, J.H., Jian, J.B.: A new family of hybrid three-term conjugate gradient methods with applications in image restoration. Numer. Algorithms 91, 161–191 (2022)
3. Liu, Y.F., Zhu, Z.B., Zhang, B.X.: Two sufficient descent three-term conjugate gradient methods for unconstrained optimization problems with applications in compressive sensing. J. Appl. Math. Comput. 68, 1787–1816 (2022)
4. Barzilai, J., Borwein, J.M.: Two point step size gradient method. IMA J. Numer. Anal. 8, 141–148 (1988)
5. Raydan, M.: The Barzilai and Borwein gradient method for the large scale unconstrained minimization problem. SIAM J. Optim. 7, 26–33 (1997)
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