Adaptive three-term family of conjugate residual methods for system of monotone nonlinear equations

被引:5
作者
Waziri, Mohammed Yusuf [1 ,3 ]
Ahmed, Kabiru [1 ,3 ]
Halilu, Abubakar Sani [2 ,3 ]
机构
[1] Bayero Univ Kano, Dept Math Sci, Kano, Nigeria
[2] Sule Lamido Univ, Dept Math, Kafin Hausa, Nigeria
[3] Bayero Univ, Numer Optimizat Res Grp, Kano, Nigeria
来源
SAO PAULO JOURNAL OF MATHEMATICAL SCIENCES | 2022年 / 16卷 / 02期
关键词
Non-smooth functions; Backtracking line search; Projection technique; Conjugacy condition; Descent condition; DERIVATIVE-FREE METHOD; GRADIENT METHOD; GLOBAL CONVERGENCE; UNCONSTRAINED OPTIMIZATION; OPTIMAL PARAMETER; LINE SEARCH; DESCENT; ALGORITHM; PROPERTY;
D O I
10.1007/s40863-022-00293-0
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Two new conjugate residual algorithms are presented and analyzed in this article. Specifically, the main functions in the system considered are continuous and monotone. The methods are adaptations of the scheme presented by Narushima et al. (SIAM J Optim 21: 212-230, 2011). By employing the famous conjugacy condition of Dai and Liao (Appl Math Optim 43(1): 87-101, 2001), two different search directions are obtained and combined with the projection technique. Apart from being suitable for solving smooth monotone nonlinear problems, the schemes are also ideal for non-smooth nonlinear problems. By employing basic conditions, global convergence of the schemes is established. Report of numerical experiments indicates that the methods are promising.
引用
收藏
页码:957 / 996
页数:40
相关论文
共 50 条
  • [41] An efficient adaptive three-term extension of the Hestenes-Stiefel conjugate gradient method
    Dong, Xiao-Liang
    Liu, Ze-Xian
    Liu, Hong-Wei
    Li, Xiang-Li
    OPTIMIZATION METHODS & SOFTWARE, 2019, 34 (03) : 546 - 559
  • [42] A class of three-term derivative-free methods for large-scale nonlinear monotone system of equations and applications to image restoration problems
    Xiaoliang Wang
    Yuzhu Tian
    Liping Pang
    Journal of Applied Mathematics and Computing, 2023, 69 : 1269 - 1296
  • [43] A three-term conjugate gradient method with accelerated subspace quadratic optimization
    Jian, Jinbao
    Chen, Wenrui
    Jiang, Xianzhen
    Liu, Pengjie
    JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2022, 68 (04) : 2407 - 2433
  • [44] A new family of hybrid three-term conjugate gradient methods with applications in image restoration
    Xianzhen Jiang
    Wei Liao
    Jianghua Yin
    Jinbao Jian
    Numerical Algorithms, 2022, 91 : 161 - 191
  • [45] A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization
    Mehiddin Al-Baali
    Yasushi Narushima
    Hiroshi Yabe
    Computational Optimization and Applications, 2015, 60 : 89 - 110
  • [46] On three-term conjugate gradient algorithms for unconstrained optimization
    Andrei, Neculai
    APPLIED MATHEMATICS AND COMPUTATION, 2013, 219 (11) : 6316 - 6327
  • [47] Descent Perry conjugate gradient methods for systems of monotone nonlinear equations
    Waziri, Mohammed Yusuf
    Hungu, Kabiru Ahmed
    Sabi'u, Jamilu
    NUMERICAL ALGORITHMS, 2020, 85 (03) : 763 - 785
  • [48] Some new three-term Hestenes-Stiefel conjugate gradient methods with affine combination
    Dong, Xiao-Liang
    Han, De-Ren
    Ghanbari, Reza
    Li, Xiang-Li
    Dai, Zhi-Feng
    OPTIMIZATION, 2017, 66 (05) : 759 - 776
  • [49] A New Three-Term Conjugate Gradient-Based Projection Method for Solving Large-Scale Nonlinear Monotone Equations
    Koorapetse, Mompati
    Kaelo, Professor
    MATHEMATICAL MODELLING AND ANALYSIS, 2019, 24 (04) : 550 - 563
  • [50] An efficient spectral three-term derivative-free projection algorithm for a large-scale system of monotone nonlinear equations
    Li, Qun
    Chen, Guolin
    Liang, Maolin
    COMPUTATIONAL & APPLIED MATHEMATICS, 2025, 44 (02)