A New Strategy in the Complexity Analysis of an Infeasible-Interior-Point Method for Symmetric Cone Programming

التفاصيل البيبلوغرافية
العنوان: A New Strategy in the Complexity Analysis of an Infeasible-Interior-Point Method for Symmetric Cone Programming
المؤلفون: Yinkui Zhang, Hongwei Liu, Ximei Yang
المصدر: Journal of Optimization Theory and Applications. 166:572-587
بيانات النشر: Springer Science and Business Media LLC, 2014.
سنة النشر: 2014
مصطلحات موضوعية: Class (set theory), Mathematical optimization, Control and Optimization, Power sum symmetric polynomial, Applied Mathematics, Convergence (routing), Theory of computation, Second-order cone programming, Elementary symmetric polynomial, Management Science and Operations Research, Commutative property, Interior point method, Mathematics
الوصف: In this paper, we give a new strategy in the complexity analysis of an infeasible-interior-point method for symmetric cone programming. Using the strategy, we improve the theoretical complexity bound of an infeasible-interior-point method. Convergence is shown for a commutative class of search directions, which includes the Nesterov---Todd direction and the $$xs$$xs and $$sx$$sx directions.
تدمد: 1573-2878
0022-3239
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::8ee2e313ee6d30c8ae92251d205f48fa
https://doi.org/10.1007/s10957-014-0670-z
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........8ee2e313ee6d30c8ae92251d205f48fa
قاعدة البيانات: OpenAIRE