New proximal bundle algorithm based on the gradient sampling method for nonsmooth nonconvex optimization with exact and inexact information
Author:
Funder
Najmeh Hoseini Monjezi
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s11075-023-01519-8.pdf
Reference37 articles.
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3. Bagirov, A.M., Jin, L., Karmitsa, N., Nuaimat, A.Al., Sultanova N.: Subgradient method for nonconvex nonsmooth optimization. J. Optim. Theory Appl., 157, 416–435 (2013)
4. Bagirov, A.M., Karmitsa, N., Mäkelä, M.M.: Introduction to Nonsmooth Optimization: theory, practice and software. Springer (2014)
5. Bagirov, A.M., Taheri, S., Joki, K., Karmitsa, N., Mäkelä, M.M.: Aggregate subgradient method for nonsmooth DC optimization. Optim. Lett., 15, 83–96 (2021)
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1. A dynamic multiple proximal bundle algorithm for locally Lipschitz multiobjective optimization problems;Optimization;2024-07-05
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