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框式凸二次规划原始-对偶势下降内点算法
引用本文:沈忠环.框式凸二次规划原始-对偶势下降内点算法[J].三峡大学学报(自然科学版),2008,30(5).
作者姓名:沈忠环
作者单位:三峡大学理学院,湖北宜昌,443002
摘    要:基于线性规划原始-对偶内点算法的思想,对框式凸二次规划提出了一种新的内点算法-原始-对偶势下降内点算法.算法取牛顿方向作为迭代方向,利用势函数选择迭代步长,并证明了新算法具有O(nL)的迭代复杂性.

关 键 词:框式凸二次规划  宽邻域  势下降内点算法  迭代复杂性

A Primal-dual Interior-point Algorithm Based on Reduced Potential Function for Convex Quadratic Programming with Box Constrains
Shen Zhonghuan.A Primal-dual Interior-point Algorithm Based on Reduced Potential Function for Convex Quadratic Programming with Box Constrains[J].Journal of China Three Gorges University(Natural Sciences),2008,30(5).
Authors:Shen Zhonghuan
Institution:Shen Zhonghuan (College of Science,China Three Gorges Univ,Yichang 443002,China)
Abstract:A new algorithm,primal-dual potential-reduction interior-point algorithm,is devised.This new algorithm is based on the ideas of the primal-dual interior-point algorithm for linear programming.This algorithm uses the Newton-direction as its iteration direction;its iteration step is determined by potential function;and the polynomial iteration complexity of O(nL) iterations of this new algorithm is proved.
Keywords:convex quadratic programming with box constrains  wide-neighborhood  potential-reduction interior-point algorithm  iteration complexity  
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