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A new homotopy proximal variable-metric framework for composite convex minimization
Quoc, Tran-Dinh; Liang, Ling; Toh, Kim-Chuan - In: Mathematics of operations research 47 (2022) 1, pp. 508-539
Persistent link: https://www.econbiz.de/10013364896
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The price of inexactness : convergence properties of relaxation methods for mathematical programs with complementarity constraints revisited
Kanzow, Christian; Schwartz, Alexandra - In: Mathematics of operations research 40 (2015) 2, pp. 253-275
Persistent link: https://www.econbiz.de/10011282714
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Nonconvex Lagrangian-based optimization : monitoring schemes and global convergence
Bolte, Jérôme; Sabach, Shoham; Teboulle, Marc - In: Mathematics of operations research 43 (2018) 4, pp. 1210-1232
Persistent link: https://www.econbiz.de/10011956982
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On optimality conditions for nonlinear conic programming
Andreani, Roberto; Gómez Bofill, Walter; Haeser, Gabriel; … - In: Mathematics of operations research 47 (2022) 3, pp. 2160-2185
Persistent link: https://www.econbiz.de/10013375036
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Convergent nested alternating minimization algorithms for nonconvex optimization problems
Gur, Eyal; Sabach, Shoham; Shtern, Shimrit - In: Mathematics of operations research 48 (2023) 1, pp. 53-77
Persistent link: https://www.econbiz.de/10014312326
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Alternating and parallel proximal gradient methods for nonsmooth, nonconvex minimax : a unified convergence analysis
Cohen, Eyal; Teboulle, Marc - In: Mathematics of operations research 50 (2025) 1, pp. 141-168
Persistent link: https://www.econbiz.de/10015211583
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Zero-one composite optimization : Lyapunov exact penalty and a globally convergent inexact augmented Lagrangian method
Zhang, Penghe; Xiu, Naihua; Luo, Ziyan - In: Mathematics of operations research 49 (2024) 4, pp. 2602-2625
Persistent link: https://www.econbiz.de/10015197979