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线性约束凸规划的一个新原-对偶路径-跟踪内点算法
引用本文:张敏,白延琴,王国强.线性约束凸规划的一个新原-对偶路径-跟踪内点算法[J].上海大学学报(英文版),2008,12(6):475-480.
作者姓名:张敏  白延琴  王国强
作者单位:Department of Mathematics,College of Sciences,Shanghai University,College of Vocational Technology,Shanghai University of Engineering Science
基金项目:Project supported by the Shanghai Pujiang Program (Grant No.06PJ14039), and the Science Foundation of Shanghai Municipal Commission of Education (Grant No.06NS031)
摘    要:In this paper, a primal-dual path-following interior-point algorithm for linearly constrained convex optimization (LCCO) is presented. The algorithm is based on a new technique for finding a class of search directions and the strategy of the central path. At each iteration, only full-Newton steps are used. Finally, the favorable polynomial complexity bound for the algorithm with the small-update method is deserved, namely, O(√nlog n/ε).

关 键 词:太阳热离子电源系统  最佳化  方法  性能
收稿时间:2007-02-07
修稿时间:2007-05-24

A new primal-dual path-following interior-point algorithm for linearly constrained convex optimization
Min Zhang,Yan-qin Bai,Guo-qiang Wang.A new primal-dual path-following interior-point algorithm for linearly constrained convex optimization[J].Journal of Shanghai University(English Edition),2008,12(6):475-480.
Authors:Min Zhang  Yan-qin Bai  Guo-qiang Wang
Institution:1. Department of Mathematics, College of Sciences, Shanghai University, Shanghai 200444, P. R. China
2. College of Vocational Technology, Shanghai University of Engineering Science, Shanghai 200437, P. R. China
Abstract:In this paper, a primal-dual path-following interior-point algorithm for linearly constrained convex optimization (LCCO) is presented. The algorithm is based on a new technique for finding a class of search directions and the strategy of the central path. At each iteration, only full-Newton steps are used. Finally, the favorable polynomial complexity bound for the algorithm with the smail-update method is deserved, namely, O(平方根n log n/∈).
Keywords:linearly constrained convex optimization(LCCO)  interior-point algorithm  small-update method  polynomial complexity
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