Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization
Reference36 articles.
1. Bandeira, A.S., Scheinberg, K., Vicente, L.N.: Convergence of trust-region methods based on probabilistic models. SIAM J. Optim. 24(3), 1238–1264 (2014)
2. Bellavia, S., Gurioli, G.: Complexity analysis of a stochastic cubic regularisation method under inexact gradient evaluations and dynamic Hessian accuracy. Optimization A Journal of Mathematical Programming and Operations Research 71(1), 227–261 (2022)
3. 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)
4. Bellavia, S., Gurioli, G., Morini, B., Toint, P.L.: Adaptive regularization algorithms with inexact evaluations for nonconvex optimization. SIAM J. Optim. 29(4), 2881–2915 (2019)
5. Bellavia, S., Gurioli, G., Morini, B., Toint, P.L.: Adaptive regularization for nonconvex optimization using inexact function values and randomly perturbed derivatives. J. Complex. 68, 101591 (2022)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献