Global Convergence of a Robust Smoothing SQP Method for Semi-Infinite Programming
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DOI: 10.1007/s10957-006-9049-0
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References listed on IDEAS
- K.L. Teo & X.Q. Yang & L.S. Jennings, 2000. "Computational Discretization Algorithms for Functional Inequality Constrained Optimization," Annals of Operations Research, Springer, vol. 98(1), pages 215-234, December.
- Dong-Hui Li & Liqun Qi & Judy Tam & Soon-Yi Wu, 2004. "A Smoothing Newton Method for Semi-Infinite Programming," Journal of Global Optimization, Springer, vol. 30(2), pages 169-194, November.
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Cited by:
- Ping Jin & Chen Ling & Huifei Shen, 2015. "A smoothing Levenberg–Marquardt algorithm for semi-infinite programming," Computational Optimization and Applications, Springer, vol. 60(3), pages 675-695, April.
- Thinh, Vo Duc & Chuong, Thai Doan & Le Hoang Anh, Nguyen, 2023. "Formulas of first-ordered and second-ordered generalization differentials for convex robust systems with applications," Applied Mathematics and Computation, Elsevier, vol. 455(C).
- Xiaojiao Tong & Liqun Qi & Soon-Yi Wu & Felix Wu, 2012. "A smoothing SQP method for nonlinear programs with stability constraints arising from power systems," Computational Optimization and Applications, Springer, vol. 51(1), pages 175-197, January.
- Jiachen Ju & Qian Liu, 2020. "Convergence properties of a class of exact penalty methods for semi-infinite optimization problems," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 91(3), pages 383-403, June.
- Qian Liu & Changyu Wang & Xinmin Yang, 2013. "On the convergence of a smoothed penalty algorithm for semi-infinite programming," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 78(2), pages 203-220, October.
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Keywords
Smoothing SQP algorithm; semi-infinite programming; integral functions; global convergence;All these keywords.
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