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A New DY Conjugate Gradient Method and Applications to Image Denoising

Wei XUE, Junhong REN, Xiao ZHENG, Zhi LIU, Yueyong LIANG

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Summary :

Dai-Yuan (DY) conjugate gradient method is an effective method for solving large-scale unconstrained optimization problems. In this paper, a new DY method, possessing a spectral conjugate parameter βk, is presented. An attractive property of the proposed method is that the search direction generated at each iteration is descent, which is independent of the line search. Global convergence of the proposed method is also established when strong Wolfe conditions are employed. Finally, comparison experiments on impulse noise removal are reported to demonstrate the effectiveness of the proposed method.

Publication
IEICE TRANSACTIONS on Information Vol.E101-D No.12 pp.2984-2990
Publication Date
2018/12/01
Publicized
2018/09/14
Online ISSN
1745-1361
DOI
10.1587/transinf.2018EDP7210
Type of Manuscript
PAPER
Category
Fundamentals of Information Systems

Authors

Wei XUE
  Anhui University of Technology
Junhong REN
  Chinese Academy of Sciences
Xiao ZHENG
  Anhui University of Technology
Zhi LIU
  Shizuoka University
Yueyong LIANG
  PHIMA Intelligence Technology Co., Ltd.

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