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一个新的求解线性规划最小二乘算法
引用本文:李炜,陈光亭.一个新的求解线性规划最小二乘算法[J].高校应用数学学报(英文版),2006,21(2):214-222.
作者姓名:李炜  陈光亭
作者单位:School of Science,Hangzhou University of Electronic Technology,Hangzhou 310037,China
基金项目:国家高技术研究发展计划(863计划) , 浙江省教育厅资助项目 , 兰州电子科技大学校科研和教改项目
摘    要:§1Introduction Currently,therearetwopopularapproachesinlinearprogramming:pivotalgorithm andinterior-pointalgorithm.Manyoftheirvariantsdevelopedbothintheoryand applicationsarestillinprogress.Thepivotmethodobtainstheoptimalsolutionviamoving consecutivelytoabettercorner-pointinthefeasibleregion,anditsmodificationstryto improvethespeedofattainingtheoptimality.Incontrast,theinterior-pointalgorithmis claimedasaninterior-pointapproach,whichgoesfromafeasiblepointtoafeasiblepoint throughtheinterioroft…

关 键 词:求解  线性规划  最小二乘算法  规划论
收稿时间:2005-07-10

A new least square algorithm for linear programming
Li Wei,Chen Guangting.A new least square algorithm for linear programming[J].Applied Mathematics A Journal of Chinese Universities,2006,21(2):214-222.
Authors:Li Wei  Chen Guangting
Affiliation:School of Science,Hangzhou University of Electronic Technology,Hangzhou 310037,China
Abstract:By attacking the linear programming problems from their dual side,a new general algorithm for linear programming is developed. At each iteration,the algorithm finds a feasible descett search direction by handling a least square problem associated with the dual system,using QR decomposition technique. The new method is a combination of pivot method and interior-point method. It in fact not only reduces the possibility of difficulty arising from degeneracy, but also has the same advantages as pivot method in warm-start to resolve linear programming problems. Numerical results of a group of randomly constructed problems are very encouraging.
Keywords:linear programming  pivot method  interior-point method  least square problem  QR decomposition
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