数学物理学报(英文版) ›› 2000, Vol. 20 ›› Issue (3): 365-373.

• 论文 • 上一篇    下一篇

GLOBAL CONVERGENCE OF A TRUST REGION ALGORITHM USING INEXACT GRADIENT FOR EQUALITY-CONSTRAINED OPTIMIZATION

童小娇,周叔子   

  1. Department of Mathematics, Hunan University, Changsha 410082, China
  • 收稿日期:1998-09-23 修回日期:1999-06-03 出版日期:2000-05-20 发布日期:2000-05-20

GLOBAL CONVERGENCE OF A TRUST REGION ALGORITHM USING INEXACT GRADIENT FOR EQUALITY-CONSTRAINED OPTIMIZATION

 TONG Xiao-Jiao, ZHOU Shu-Zi   

  1. Department of Mathematics, Hunan University, Changsha 410082, China
  • Received:1998-09-23 Revised:1999-06-03 Online:2000-05-20 Published:2000-05-20

摘要:

A trust-region algorithm is presented for a nonlinear optimization problem
of equality-constraints. The characterization of the algorithm is using inexact gradient
information. Global convergence results are demonstrated where the gradient values are
obeyed a simple relative error condition.

关键词: Equality constraints, trust region method, inexact gradient, global convergence

Abstract:

A trust-region algorithm is presented for a nonlinear optimization problem
of equality-constraints. The characterization of the algorithm is using inexact gradient
information. Global convergence results are demonstrated where the gradient values are
obeyed a simple relative error condition.

Key words: Equality constraints, trust region method, inexact gradient, global convergence

中图分类号: 

  • 49M37