A sequential adaptive regularisation using cubics algorithm for solving nonlinear equality constrained optimization
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Control and Optimization
Link
https://link.springer.com/content/pdf/10.1007/s10589-022-00449-w.pdf
Reference38 articles.
1. Agarwal, N., Boumal, N., Bullins, B., Cartis, C.: Adaptive regularization with cubics on manifolds. Math. Program. 188, 85–134 (2021)
2. Bellavia, S., Gurioli, G., Morini, B.: Adaptive cubic regularization methods with dynamic inexact Hessian information and applications to finite-sum minimization. IMA J. Numer. Anal. 41(1), 764–799 (2021)
3. Benson, H., Shanno, D.: Cubic regularization in symmetric rank-1 quasi-Newton methods. Math. Program. Comput. 10(4), 457–486 (2018)
4. Benson, H.Y., Shanno, D.F.: Interior-point methods for nonconvex nonlinear programming: cubic regularization. Comput. Optim. Appl. 58(2), 323–346 (2014)
5. Bergou, E., Diouane, Y., Gratton, S.: On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. Comput. Optim. Appl. 68(3), 533–554 (2017)
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