吉林大学学报(理学版) ›› 2024, Vol. 62 ›› Issue (6): 1345-1351.

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凸约束方程组的新型无导数算法及在信号重构中的应用

夏艳1, 李远飞1, 王松华2, 李丹丹1   

  1. 1. 广州华商学院 应用数学系, 广州 511300; 2. 百色学院 数学与统计学院, 广西 百色 533000
  • 收稿日期:2024-03-12 出版日期:2024-11-26 发布日期:2024-11-26
  • 通讯作者: 李远飞 E-mail:liqfd@163.com

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

摘要: 提出一种新型无导数算法, 以解决凸约束非线性方程组问题. 该算法利用改进的共轭参数设计搜索方向, 以确保算法的充分下降性和信赖域特性. 在适当的假设下, 该算法具有全局收敛性. 数值仿真结果表明, 该算法在处理凸约束非线性方程组问题和信号重构问题时具有高效性和鲁棒性.

关键词: 凸约束非线性方程组, 无导数, 全局收敛性, 信号重构

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

中图分类号: 

  • O224