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Numerical Functional Analysis and Optimization Volume 40, 2019 - Issue 1
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Original Articles

On Smoothing l1 Exact Penalty Function for Constrained Optimization Problems

Xinsheng XuCollege of Science, Binzhou University, Binzhou, China; Correspondence[email protected]
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Chuangyin DangDepartment of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong; ORCID Iconhttp://orcid.org/0000-0003-4731-4616View further author information
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Felix T. S. ChanDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong; ORCID Iconhttp://orcid.org/0000-0001-7374-2396View further author information
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Yongli WangCollege of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, ChinaView further author information
Pages 1-18 | Received 19 Mar 2017, Accepted 30 May 2018, Published online: 27 Dec 2018

Citations (4)

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Read on this site (1)

R. S. Burachik, C. Y. Kaya & C. J. Price. (2022) A primal–dual penalty method via rounded weighted-ℓ1 Lagrangian duality. Optimization 71:13, pages 3981-4017.
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Articles from other publishers (3)

Nurullah YILMAZ & Hatice ÖĞÜT. (2023) An exact penalty function approach for inequality constrained optimization problems based on a new smoothing technique. Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics 72:3, pages 761-777.
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小敏 瞿. (2023) A New Smooth l<sub>1</sub> Exact Penalty Function Methods. Advances in Applied Mathematics 12:05, pages 2582-2592.
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Hongyou Chen, Hongjie He & Fan Chen. 2021. Artificial Intelligence and Security. Artificial Intelligence and Security 14 26 .

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