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A NEW PERTURBATION SIMPLEX ALGORITHM FOR LINEARPROGRAMMING

A NEW PERTURBATION SIMPLEX ALGORITHM FOR LINEAR PROGRAMMING

作     者:Ping-qi Pan(Department of Applied Mathematics, Southeast University, Naming 210096, China) 

作者机构:东南大学应用数学系 江苏 南京 

出 版 物:《Journal of Computational Mathematics》 (计算数学(英文))

年 卷 期:1999年第17卷第3期

页      面:233-242页

核心收录:

学科分类:07[理学] 070102[理学-计算数学] 0701[理学-数学] 

基  金:国家自然科学基金 

主  题:linear programming simplex method perturbation dual feasibility 

摘      要:In this paper, we first propose a perturbation procedure for achieving dual feasibility, which starts with any basis without introducing artificial variables. This procedure and the dual simplex method are then incorporated into a general purpose algorithm; then, a modification of it using a perturbation technique is made in order to handle highly degenerate problems efficiently. Some interesting theoretical results are presented. Nmerical results obtained are reported, which are very encouraging though still preliminary.

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