运筹学学报 ›› 2013, Vol. 17 ›› Issue (2): 89-106.

• 运筹学 • 上一篇    下一篇

仿射变换内点Levenberg-Marquardt法解KKT系统

王云娟1,*,朱德通2   

  1. 1.  上海立信会计学院数学与信息学院,上海 201620 2.  上海师范大学商学院, 上海 200234
  • 收稿日期:2011-03-24 出版日期:2013-06-15 发布日期:2013-06-15
  • 通讯作者: 王云娟 E-mail:yunjuanwang@163.com
  • 基金资助:

    国家自然科学基金 (No.10871130)

Affine scaling interior Levenberg-Marquardt method for KKT systems

WANG Yunjuan1,*,ZHU Detong2   

  1. 1. School of Mathematics and Information, Shanghai Lixin University of Commerce, Shanghai 201620, China 2. Business School, Shanghai Normal University, Shanghai 200234, China
  • Received:2011-03-24 Online:2013-06-15 Published:2013-06-15

摘要: 提供了一类新的结合非单调内点回代线搜索技术的仿射变换Levenberg-Marquardt法解Karush-Kuhn-Tucker(KKT)系统. 基于由KKT系统转化得到的等价的部分变量具有非负约束的最小化问题,建立了Levenberg-Marquardt方程. 证明了算法不仅具有整体收敛性,而且在合理的假设条件下,算法具有超线性收敛速率. 数值结果验证了算法的实际有效性.

关键词: KKT系统, Levenberg-Marquardt法, 仿射变换, 内点, 收敛

Abstract: We develop and analyze a new affine scaling Levenberg-Marquardt method with nonmonotonic interior backtracking line search technique for solving Karush-Kuhn-Tucker (KKT) system. By transforming the KKT system into an equivalent minimization problem with nonnegativity constraints on some of the variables, we establish the Levenberg-Marquardt equation based on this reformulation. Theoretical analysis are given which prove that the proposed algorithm is globally convergent and has a local superlinear convergent rate under some reasonable conditions. The results of numerical experiments are reported to show the effectiveness of the proposed algorithm.

Key words: KKT systems, Levenberg-Marquardt method, affine scaling, interior point, convergence

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