数学
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单调多边形
超平面
非线性系统
共轭梯度法
投影法
下降方向
投影(关系代数)
应用数学
数学优化
下降(航空)
梯度下降
算法
Dykstra投影算法
计算机科学
几何学
人工神经网络
工程类
航空航天工程
物理
机器学习
半径
计算机安全
量子力学
作者
Pengjie Liu,Xiaoyu Wu,Hu Shao,Yan Zhang,Shuhan Cao
摘要
Abstract In this work, by considering the hyperplane projection and hybrid techniques, three scaled three‐term conjugate gradient methods are extended to solve the system of constrained monotone nonlinear equations, and the developed methods have the advantages of low storage and only using function values. The new methods satisfy the sufficient descent condition independent of any line search criterion. It has been proved that three new methods converge globally under some mild conditions. The numerical experiments for constrained monotone nonlinear equations and image de‐blurring problems illustrate that the proposed methods are numerically effective and efficient.
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