Convergence Properties of Monotone and Nonmonotone Proximal Gradient Methods Revisited
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DOI: 10.1007/s10957-022-02101-3
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- Radu Ioan Boţ & Ernö Robert Csetnek & Szilárd Csaba László, 2016. "An inertial forward–backward algorithm for the minimization of the sum of two nonconvex functions," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 4(1), pages 3-25, February.
- Eyal Cohen & Nadav Hallak & Marc Teboulle, 2022. "A Dynamic Alternating Direction of Multipliers for Nonconvex Minimization with Nonlinear Functional Equality Constraints," Journal of Optimization Theory and Applications, Springer, vol. 193(1), pages 324-353, June.
- Heinz H. Bauschke & Jérôme Bolte & Marc Teboulle, 2017. "A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications," Mathematics of Operations Research, INFORMS, vol. 42(2), pages 330-348, May.
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- Simeon vom Dahl & Christian Kanzow, 2024. "An inexact regularized proximal Newton method without line search," Computational Optimization and Applications, Springer, vol. 89(3), pages 585-624, December.
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Keywords
Non-Lipschitz optimization; Nonsmooth optimization; Proximal gradient method;All these keywords.
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