A Weaker Condition for Stable Lagrange Duality in DC Conic Programming

Mengdan Wang

College of Mathematics and Statistics, Jishou University, Jishou 416000, P. R. China.

Donghui Fang *

College of Mathematics and Statistics, Jishou University, Jishou 416000, P. R. China.

*Author to whom correspondence should be addressed.


Abstract

We consider the DC conic programming in locally convex Hausdorff vector spaces. By using the infimal convolution of the conjugate functions, we present a new regularity condition, which turns out to be weaker than the regularity conditions given so far in the literature. Moreover, it provides a sufficient and necessary condition for the stable Lagrange duality for the DC conic programming.

Keywords: Regular condition, Lagrange duality, Fenchel-Lagrange duality, DC conic programming.


How to Cite

Wang, Mengdan, and Donghui Fang. 2014. “A Weaker Condition for Stable Lagrange Duality in DC Conic Programming”. Journal of Advances in Mathematics and Computer Science 4 (9):1202-12. https://doi.org/10.9734/BJMCS/2014/8708.

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