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Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming

Author

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  • Ion Necoara
  • Andrei Patrascu
  • François Glineur

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  • Ion Necoara & Andrei Patrascu & François Glineur, 2019. "Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming," LIDAM Reprints CORE 3004, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:3004
    Note: In : Optimization Methods and Software, 34(2), 305-335, 2019
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    Cited by:

    1. Ya-Feng Liu & Xin Liu & Shiqian Ma, 2019. "On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming," Mathematics of Operations Research, INFORMS, vol. 44(2), pages 632-650, May.
    2. 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.
    3. Tianxiao Sun & Ion Necoara & Quoc Tran-Dinh, 2020. "Composite convex optimization with global and local inexact oracles," Computational Optimization and Applications, Springer, vol. 76(1), pages 69-124, May.

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