Acta mathematica scientia,Series A ›› 2024, Vol. 44 ›› Issue (4): 1066-1079.

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An Inertial Conjugate Gradient Projection Method for the Split Feasibility Problem

Jian Jinbao,Dai Yu,Yin Jianghua*()   

  1. School of Mathematics and Physics, Center for Applied Mathematics of Guangxi, Guangxi Minzu University, Nanning 530006
  • Received:2023-10-05 Revised:2024-02-01 Online:2024-08-26 Published:2024-07-26
  • Supported by:
    Natural Science Foundation of Guangxi(2023GXNSFBA026029);Guangxi Science and Technology Program (AD23023001);Middle-aged and Young Teachers' Basic Ability Promotion Project of Guangxi(2023KY0168);Research Project of Guangxi Minzu University(2022KJQD03)

Abstract:

Based on a convex constrained nonlinear monotone equations equivalent to the split feasibility problem, in this paper, a novel inertial conjugate gradient projection method is proposed. The presented method does not calculate the maximum eigenvalue of the matrix ${A^\top}A$ and the complex projections of multiple times. Under mild conditions, the global convergence of the proposed method is proved, and its rate of convergence is analyzed. Numerical experiments show that the proposed method is efficient and robust.

Key words: Split feasibility problem, Inertial technique, Conjugate gradient projection algorithm, Global convergence, Convergence rate

CLC Number: 

  • O221.2
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