New Results on Superlinear Convergence of Classical Quasi-Newton Methods
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DOI: 10.1007/s10957-020-01805-8
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Cited by:
- Zhen-Yuan Ji & Yu-Hong Dai, 2023. "Greedy PSB methods with explicit superlinear convergence," Computational Optimization and Applications, Springer, vol. 85(3), pages 753-786, July.
- Ibrahim Mohammed Sulaiman & Aliyu Muhammed Awwal & Maulana Malik & Nuttapol Pakkaranang & Bancha Panyanak, 2022. "A Derivative-Free MZPRP Projection Method for Convex Constrained Nonlinear Equations and Its Application in Compressive Sensing," Mathematics, MDPI, vol. 10(16), pages 1-17, August.
- Elena Tovbis & Vladimir Krutikov & Lev Kazakovtsev, 2024. "Newtonian Property of Subgradient Method with Optimization of Metric Matrix Parameter Correction," Mathematics, MDPI, vol. 12(11), pages 1-27, May.
- Vladimir Krutikov & Elena Tovbis & Predrag Stanimirović & Lev Kazakovtsev, 2023. "On the Convergence Rate of Quasi-Newton Methods on Strongly Convex Functions with Lipschitz Gradient," Mathematics, MDPI, vol. 11(23), pages 1-15, November.
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Keywords
Quasi-Newton methods; Convex Broyden class; DFP; BFGS; Superlinear convergence; Local convergence; Rate of convergence;All these keywords.
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