Journal of Jilin University Science Edition ›› 2024, Vol. 62 ›› Issue (6): 1345-1351.

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Novel Derivative-Free Algorithm for Convex Constrained Equations and Its Application in Signal Reconstruction

XIA Yan1, LI Yuanfei1, WANG Songhua2, LI Dandan1   

  1. 1. Department of Applied Mathematics, Guangzhou Huashang College, Guangzhou 511300, China;
    2. School of Mathematics and Statistics, Baise University, Baise 533000, Guangxi Zhuang Autonomous Region, China
  • Received:2024-03-12 Online:2024-11-26 Published:2024-11-26

Abstract: We  proposed a novel derivative-free algorithm  to solve convex constrained nonlinear equation systems. The  algorithm utilized improved conjugate parameters to design a search direction, ensuring sufficient descent and trust region characteristics of the algorithm. Under appropriate assumptions, the  algorithm had  global convergence. Numerical simulation results show that the  algorithm has high  efficiency and robustness in handling convex constrained nonlinear equation systems and signal reconstruction problems.

Key words: convex constrained nonlinear , equation systems, derivative-free, global convergence, signal reconstruction

CLC Number: 

  • O224