Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models

E. G. Birgin
, J. L. Gardenghi
, J. M. Martínez
, S. A. Santos
, P. L. Toint

Namur Institute for Complex Systems

Research output: Contribution to journal › Article › peer-review

121 Citations
4 Article
1 Book
1 Working paper

4 results

Filter

2020
Adaptive regularization algorithms with inexact evaluations for nonconvex optimization
Bellavia, S., Gurioli, G., Morini, B. & Toint, P., 2 Jan 2020, In: SIAM Journal on Optimization. 29, 4, p. 2881-2915 35 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
80 Downloads (Pure)
2019
Complexity of partially separable convexly constrained optimization with non-Lipschitzian singularities
Chen, X., Toint, P. & Wang, H., 15 Apr 2019, In: SIAM Journal on Optimization. 29, 1, p. 874-903 30 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
58 Downloads (Pure)
Optimality of orders one to three and beyond: Characterization and evaluation complexity in constrained nonconvex optimization
Cartis, C., Gould, N. I. M. & Toint, P., 10 Aug 2019, In: Journal of Complexity. 53, p. 68-94 27 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
61 Downloads (Pure)
2017
Worst-case evaluation complexity of regularization methods for smooth unconstrained optimization using Hölder continuous gradients
Toint, P., 2 Nov 2017, In: Optimization Methods and Software. 32, 6, p. 1273-1298 26 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
50 Downloads (Pure)