A class of spectral conjugate gradient methods for Riemannian optimization
Author:
Funder
Guangxi Natural Science Foundation
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s11075-022-01495-5.pdf
Reference35 articles.
1. Hestenes, M.R., Stiefel, E.: Methods of conjugate gradients for solving linear systems. J. Res. Natl. Bur. Stand. 49(6), 409–435 (1952)
2. Fletcher, R., Reeves, C.M.: Function minimization by conjugate gradients. Comput. J. 7(2), 149–154 (1964)
3. Polyak, B.T.: The conjugate gradient method in extremal problems. USSR Comput. Math. Math. Phys. 9(4), 94–112 (1969)
4. Dai, Y.H., Yuan, Y.X.: A nonlinear conjugate gradient method with a strong global convergence property. SIAM J. Optim. 10(1), 177–182 (1999)
5. Zhang, L., Zhou, W.J., Li, D.H.: A descent modified Polak-Ribière-Polyak conjugate gradient method and its global convergence. IMA J. Numer. Anal. 26(4), 629–640 (2006)
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