Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2025, Vol. 42 ›› Issue (2): 388-396.doi: 10.3969/j.issn.1005-3085.2025.02.013

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A New Spectral Conjugate Gradient Method with Sufficient Descent Property

WANG Sensen1,   HAN Xin2,3,   SU Xing4   

  1. 1. School of Mathematics and Physics, Xinjiang Hetian College, Hetian 848000
    2. School of Mathematics, Sichuan University of Arts and Science, Dazhou 635000
    3. College of Electronics and Information Engineering, Southwest University, Chongqing 400715
    4. School of Computer Science, Beijing University of Technology, Beijing 100124
  • Received:2023-09-03 Accepted:2024-09-24 Online:2025-04-15 Published:2025-06-15
  • Contact: X. Han. E-mail address: hanmath@163.com
  • Supported by:
    The National Natural Science Foundation of China (62276011); the Dazhou Key Laboratory of Government Data Security (ZSAQ202311); the Hetian Regional Science and Technology Bureau Project (20220210); the Open Research Fund of the Dazhou City Key Laboratory of Multidimensional Data Perception and Intelligent Information Processing (DWSJ2405).

Abstract:

Based on the modified FR type spectral conjugate gradient method, the conjugate parameters and spectral coefficients are improved, and hence a sufficiently descending spectral conjugate gradient method is proposed. The spectral conjugate gradient method's global convergence is established under the standard Wolfe line search criteria. Finally, numerical experiments are carried out to compare the proposed method with two FR spectral conjugate gradient methods proposed in other literatures. The numerical results indicate that the proposed method enjoys certain advantages in numerical calculation.

Key words: unconstrained optimization, spectral conjugate gradient method, standard Wolfe line search, sufficient descent, global convergence

CLC Number: