Abstract
In this paper, with the help of convex-like function, we discuss the duality theory for nonconvex semidefinite programming. Our contributions are: duality theory for the general nonconvex semidefinite programming when Slater’s condition holds; perfect duality for a special case of the nonconvex semidefinite programming for which Slater’s condition fails. We point out that the results of Fan (Appl. Math. Lett. 18:1068–1073, 2005) can be regarded as a special case of our result.
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References
Dinh, N., Jeyakumar, V., & Lee, G. M. (2005). Sequential Lagrangian conditions for convex programs with applications to semidefinite programming. Journal of Optimization Theory and Applications, 125, 85–112.
Fan, K. (1953). Minimax theorems. Proceedings of the National Academy of Sciences of the USA, 39(1).
Fan, J. Y. (2005). Duality theories in nonlinear semidefinite programming. Applied Mathematics Letters, 18, 1068–1073.
Kanzow, C., Nagel, C., Kato, H., & Fukushima, M. (2005). Successive linearization methods for nonlinear semidefinite programs. Computational Optimization and Applications, 31, 251–273.
Li, C., & Sun, W. (2008a). Generalized Farkas’ lemma and optimal conditions for nonconvex semidefinite program. Gaodeng Xuexiao Jisuan Shuxue Xuebao, 30, 184–192.
Li, C., & Sun, W. (2008b). A class of nonsmooth Newton-type methods for nonlinear semidefinite programming. Nanjing Shi-Da Xuebao (Ziran Kexue Ban), 31, 1–7.
Li, C., & Sun, W. (2009). On filter-successive linearization methods for nonlinear semidefinite programming. Science in China Series A, 52, 2341–2361.
Li, C., Sun, W., & Sampaio, R. J. B. (2010). An equivalency condition on nonsingularity in nonlinear semidefinite programming. Journal of Systems Science and Complexity, 23, 822–829.
Sun, D. (2006). The strong second order sufficient condition and constraint nondegeneracy in nonlinear semidefinite programming and their implications. Mathematics of Operations Research, 31, 761–776.
Sun, W., & Yuan, Y. (2006). Springer optimization and its applications (SOIA): Vol. 1. Optimization theory and methods: Nonlinear programming. New York: Springer.
Sun, J., Sun, D., & Qi, L. (2004). A squared smoothing Newton method for nonsmooth matrix equations and its applications in semidefinite optimization problems. SIAM Journal on Optimization, 14, 783–806.
Sun, D., Sun, J., & Zhang, L. (2008). The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming. Mathematical Programming, 114, 349–391.
Weir, T., & Jeyakumar, V. (1988). A class of nonconvex functions and mathematical programming. Bulletin of the Australian Mathematical Society, 38, 177–189.
Yang, X. M., Yang, X. Q., & Teo, K. L. (2001). Characterizations and applications of prequasi-invex functions. Journal of Optimization Theory and Applications, 110, 645–668.
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This work was supported by National Natural Science Foundation of China (grant No. 10871098, No. 11071122), the Natural Science Fund of Jiangsu Province (grant No. BK2009397), and CNPq of Brazil.
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Sun, W., Li, C. & Sampaio, R.J.B. On duality theory for non-convex semidefinite programming. Ann Oper Res 186, 331–343 (2011). https://doi.org/10.1007/s10479-011-0861-z
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DOI: https://doi.org/10.1007/s10479-011-0861-z