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Original Articles

An improvement of adaptive cubic regularization method for unconstrained optimization problems

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Pages 271-287 | Received 25 Sep 2019, Accepted 28 Feb 2020, Published online: 11 Mar 2020

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T. Dehghan Niri, M. Heydari & M. M. Hosseini. (2023) Two modified adaptive cubic regularization algorithms by using the nonmonotone Armijo-type line search. Optimization 72:11, pages 2769-2792.
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Articles from other publishers (5)

Yonggang Pei, Shaofang Song & Detong Zhu. (2022) A filter sequential adaptive cubic regularization algorithm for nonlinear constrained optimization. Numerical Algorithms 93:4, pages 1481-1507.
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Yonggang Pei, Shaofang Song & Detong Zhu. (2023) A sequential adaptive regularisation using cubics algorithm for solving nonlinear equality constrained optimization. Computational Optimization and Applications 84:3, pages 1005-1033.
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Pimpon Uttayarat, Rattanakorn Chiangnoon, Thanu Thongnopkoon, Kesinee Noiruksa, Jirachaya Trakanrungsie, Wattanaporn Phattanaphakdee, Chuda Chittasupho & Sirivan Athikomkulchai. (2023) Electron Beam Irradiation Cross-Linked Hydrogel Patches Loaded with Red Onion Peel Extract for Transdermal Drug Delivery: Formulation, Characterization, Cytocompatibility, and Skin Permeation. Gels 9:1, pages 52.
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G. N. Grapiglia, M. L. N. Gonçalves & G. N. Silva. (2021) A cubic regularization of Newton’s method with finite difference Hessian approximations. Numerical Algorithms 90:2, pages 607-630.
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Xiaoqin Jiang & He Huang. (2020) A Smoothing Newton Method with a Mixed Line Search for Monotone Weighted Complementarity Problems. Mathematical Problems in Engineering 2020, pages 1-10.
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