共轭梯度法
正定矩阵
应用数学
非线性共轭梯度法
数学
共轭梯度法的推导
线性系统
重点(电信)
梯度法
数学分析
计算机科学
数学优化
梯度下降
物理
特征向量
人工智能
人工神经网络
量子力学
电信
作者
Qinmeng Zou,Frédéric Magoulès
出处
期刊:Siam Review
[Society for Industrial and Applied Mathematics]
日期:2022-08-01
卷期号:64 (3): 517-553
被引量:7
摘要
The primary aim of this paper is to provide a review of the last few decades of research focused on delayed gradient methods for solving symmetric positive definite linear systems. Recent developments on spectral properties are stressed, as well as their implications for the formulation of new methods. Numerical experiments are conducted with emphasis on the comparison with the conjugate gradient method for solving ill-conditioned problems.
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