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Universal Subgradient and Proximal Bundle Methods for Convex and Strongly Convex Hybrid Composite Optimization

Vincent Guigues et al.

Journal of Optimization Theory and Applications2026https://doi.org/10.1007/s10957-025-02927-7article
AJG 3ABDC A
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https://doi.org/https://doi.org/10.1007/s10957-025-02927-7

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@article{vincent2026,
  title        = {{Universal Subgradient and Proximal Bundle Methods for Convex and Strongly Convex Hybrid Composite Optimization}},
  author       = {Vincent Guigues et al.},
  journal      = {Journal of Optimization Theory and Applications},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10957-025-02927-7},
}

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Universal Subgradient and Proximal Bundle Methods for Convex and Strongly Convex Hybrid Composite Optimization

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0.50

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F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
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R · text relevance †0.50 × 0.4 = 0.20

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