Modified globally convergent Polak-Ribière-Polyak conjugate gradient methods with self-correcting property for large-scale unconstrained optimization
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shaanxi Province
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s11075-022-01440-6.pdf
Reference53 articles.
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2. Byrd, R.H., Nocedal, J.: A tool for the analysis of quasi-Newton methods with application to unconstrained minimization. SIAM J. Numer. Anal. 26, 727–739 (1989)
3. Nocedal, J.: Theory of algorithms for unconstrained optimization. Acta. Numer. 1, 199–242 (1992)
4. Nocedal, J., Yuan, Y.: Analysis of self-scaling quasi-Newton method. Math. Program. 61, 19–37 (1993)
5. Gilbert, J.C., Nocedal, J.: Global convergence properties of conjugate gradient methods for optimization. SIAM J. Optim. 2, 21–42 (1992)
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