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凸二次规划基于新的核函数的大步校正原始-对偶内点算法
引用本文:汪燕,张明望.凸二次规划基于新的核函数的大步校正原始-对偶内点算法[J].三峡大学学报(自然科学版),2013(2):100-103.
作者姓名:汪燕  张明望
作者单位:三峡大学理学院
基金项目:湖北省自然科学基金项目(2008CDZ047)
摘    要:本文对凸二次规划提出了一种基于新的核函数的大步校正原始-对偶内点算法.这种核函数构造新的障碍函数不仅可以定义新的搜索方向,而且可以控制内迭代的过程,使得对凸二次规划提出的大步校正原始-对偶内点算法的多项式复杂性阶改善到O(√n(logn)2log(n/ε)),优于基于经典对数障碍函数的相应算法的复杂性阶.

关 键 词:凸二次规划  原始-对偶内点算法  核函数  大步校正方法  多项式复杂性

A Large-update Primal-dual Interior-point Algorithm for Convex Quadratic Programming Based on a New Kernel Function
Wang Yan Zhang Mingwang.A Large-update Primal-dual Interior-point Algorithm for Convex Quadratic Programming Based on a New Kernel Function[J].Journal of China Three Gorges University(Natural Sciences),2013(2):100-103.
Authors:Wang Yan Zhang Mingwang
Institution:Wang Yan Zhang Mingwang(College of Science,China Three Gorges Univ.,Yichang 443002 China)
Abstract:A primal-dual interior-point algorithm for convex quadratic programming(CQP) based on a new kernel function is presented. We use the kernel function to construct a new barrier function. It not only can difine a new search direction,but also can control the process of inner iteration. These properties enable to improve the polynomial complexity bound of a large-update primal-dual interior-point method for (CQP) to O(√n(logn)2log(n/ε)),which is better than the complexity bound of the corresponding algorithm based on the classical logarithmic barrier function.
Keywords:convex quadratic programming  primal-dual interior'point algorithm  kernel function  large- update method  polynomial complexity
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