首页 | 本学科首页   官方微博 | 高级检索  
     


Minimum-Euclidean-norm matrix correction for a pair of dual linear programming problems
Authors:V. V. Volkov  V. I. Erokhin  A. S. Krasnikov  A. V. Razumov  M. N. Khvostov
Affiliation:1.Borisoglebsk Branch,Voronezh State University,Borisoglebsk, Voronezh oblast,Russia;2.Mozhaisky Military Space Academy,St. Petersburg,Russia;3.Russia State Social University,Moscow,Russia
Abstract:For a pair of dual (possibly improper) linear programming problems, a family of matrix corrections is studied that ensure the existence of given solutions to these problems. The case of correcting the coefficient matrix and three cases of correcting an augmented coefficient matrix (obtained by adding the right-hand side vector of the primal problem, the right-hand-side vector of the dual problem, or both vectors) are considered. Necessary and sufficient conditions for the existence of a solution to the indicated problems, its uniqueness is proved, and the form of matrices for the solution with a minimum Euclidean norm is presented. Numerical examples are given.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号