Distributed inexact Newton method with adaptive step sizes
Author
Abstract
Suggested Citation
DOI: 10.1007/s10589-025-00666-z
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Dušan Jakovetić & Nataša Krejić & Nataša Krklec Jerinkić, 2019. "Exact spectral-like gradient method for distributed optimization," Computational Optimization and Applications, Springer, vol. 74(3), pages 703-728, December.
- Christian Kanzow & Matteo Lapucci, 2023. "Inexact penalty decomposition methods for optimization problems with geometric constraints," Computational Optimization and Applications, Springer, vol. 85(3), pages 937-971, July.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Stefania Bellavia & Valentina Simone & Benedetta Morini, 2025. "Preface: New trends in large scale optimization," Computational Optimization and Applications, Springer, vol. 91(2), pages 351-356, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Matteo Lapucci & Alessio Sortino, 2024. "On the Convergence of Inexact Alternate Minimization in Problems with $$\ell _0$$ ℓ 0 Penalties," SN Operations Research Forum, Springer, vol. 5(2), pages 1-11, June.
- Juan Gao & Xin-Wei Liu & Yu-Hong Dai & Yakui Huang & Junhua Gu, 2023. "Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization," Computational Optimization and Applications, Springer, vol. 84(2), pages 531-572, March.
- Matteo Lapucci & Pierluigi Mansueto, 2024. "Cardinality-Constrained Multi-objective Optimization: Novel Optimality Conditions and Algorithms," Journal of Optimization Theory and Applications, Springer, vol. 201(1), pages 323-351, April.
- Dušan Jakovetić & Nataša Krejić & Nataša Krklec Jerinkić, 2023. "EFIX: Exact fixed point methods for distributed optimization," Journal of Global Optimization, Springer, vol. 85(3), pages 637-661, March.
More about this item
Keywords
Newton method; Distributed optimization; Adaptive step size;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:coopap:v:91:y:2025:i:2:d:10.1007_s10589-025-00666-z. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.