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MOORE-PENROSE INVERSE SIMPLEX ALGORITHMS BASED ON SUCCESSIVE LINEAR SUBPROGRAMMING APPROACH
引用本文:潘平奇,欧阳梓祥. MOORE-PENROSE INVERSE SIMPLEX ALGORITHMS BASED ON SUCCESSIVE LINEAR SUBPROGRAMMING APPROACH[J]. 高等学校计算数学学报(英文版), 1994, 0(2)
作者姓名:潘平奇  欧阳梓祥
作者单位:Department of Mathematics & Mechanics,Southeast University,Nanjing 210096,PRC.,Department of Mathematics,Nanjing University,Nanjing 210093,PRC.
基金项目:The research was supported by the Natural Scinece Foundation of China
摘    要:Generalized simplex variants based on successive linear subprogramming approach (SLS) are described in this paper. In stead of inverse matrix, these variants employ Moore-Penrose inverse. They are respectively characterized by different pivoting rules, Numerical results of limited tests show encouraging performance of these variants.


MOORE-PENROSE INVERSE SIMPLEX ALGORITHMS BASED ON SUCCESSIVE LINEAR SUBPROGRAMMING APPROACH
Pan Ping-qi. MOORE-PENROSE INVERSE SIMPLEX ALGORITHMS BASED ON SUCCESSIVE LINEAR SUBPROGRAMMING APPROACH[J]. Numerical Mathematics A Journal of Chinese Universities English Series, 1994, 0(2)
Authors:Pan Ping-qi
Affiliation:Pan Ping-qi Department of Mathematics & Mechanics,Southeast University,Nanjing 210096,PRC.Ouyang Zi-xiang Department of Mathematics,Nanjing University,Nanjing 210093,PRC.
Abstract:Generalized simplex variants based on successive linear subprogramming approach (SLS) are described in this paper. In stead of inverse matrix, these variants employ Moore-Penrose inverse. They are respectively characterized by different pivoting rules, Numerical results of limited tests show encouraging performance of these variants.
Keywords:linear programming   successive linear subprogramming   simplex variant.
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