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Barrier subgradient method

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  • NESTEROV, Yurii

Abstract

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Suggested Citation

  • NESTEROV, Yurii, 2011. "Barrier subgradient method," LIDAM Reprints CORE 2359, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:2359
    DOI: 10.1007/s10107-010-0421-3
    Note: In : Mathematical Programming B, 127(1), 31-56, 2011
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    File URL: http://dx.doi.org/10.1007/s10107-010-0421-3
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    Cited by:

    1. Deyi Liu & Quoc Tran-Dinh, 2020. "An Inexact Interior-Point Lagrangian Decomposition Algorithm with Inexact Oracles," Journal of Optimization Theory and Applications, Springer, vol. 185(3), pages 903-926, June.
    2. Quoc Tran-Dinh & Anastasios Kyrillidis & Volkan Cevher, 2018. "A Single-Phase, Proximal Path-Following Framework," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1326-1347, November.
    3. Masoud Ahookhosh & Arnold Neumaier, 2018. "Solving structured nonsmooth convex optimization with complexity $$\mathcal {O}(\varepsilon ^{-1/2})$$ O ( ε - 1 / 2 )," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(1), pages 110-145, April.
    4. Qihang Lin & Runchao Ma & Yangyang Xu, 2022. "Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization," Computational Optimization and Applications, Springer, vol. 82(1), pages 175-224, May.
    5. Chung-En Tsai & Hao-Chung Cheng & Yen-Huan Li, 2022. "Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States," Papers 2210.00997, arXiv.org, revised Sep 2023.

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