A strongly sub-feasible primal-dual quasi interior-point algorithm for nonlinear inequality constrained optimization
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DOI: 10.1016/j.amc.2015.05.091
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References listed on IDEAS
- J. B. Jian, 2006. "New Sequential Quadratically-Constrained Quadratic Programming Method of Feasible Directions and Its Convergence Rate," Journal of Optimization Theory and Applications, Springer, vol. 129(1), pages 109-130, April.
- Z. Y. Gao & G. P. He & F. Wu, 1997. "Sequential Systems of Linear Equations Algorithm for Nonlinear Optimization Problems with General Constraints," Journal of Optimization Theory and Applications, Springer, vol. 95(2), pages 371-397, November.
- Jian, Jin-Bao & Tang, Chun-Ming & Zheng, Hai-Yan, 2010. "Sequential quadratically constrained quadratic programming norm-relaxed algorithm of strongly sub-feasible directions," European Journal of Operational Research, Elsevier, vol. 200(3), pages 645-657, February.
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Cited by:
- Li, Jianling & Huang, Renshuai & Jian, Jinbao, 2015. "A superlinearly convergent QP-free algorithm for mathematical programs with equilibrium constraints," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 885-903.
- Li, Jianling & Yang, Zhenping, 2018. "A QP-free algorithm without a penalty function or a filter for nonlinear general-constrained optimization," Applied Mathematics and Computation, Elsevier, vol. 316(C), pages 52-72.
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Keywords
Inequality constraints; Nonlinear optimization; Strongly sub-feasible method; Quasi interior-point method; Superlinear convergence;All these keywords.
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