线性系统结构草图

Johannes J Brust, Michael A Saunders
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引用次数: 0

摘要

对于线性系统 $Ax=b$,我们开发了基于 "求取和项目 "方法的迭代算法。通过对草图(如残差的历史)的明智选择,我们开发出了加权策略,从而实现了短递归公式。与常规的草图-项目法相比,所提出的算法具有较低的内存占用和运算复杂度。在一组数值实验中,新方法与 GMRES、SYMMLQ 和最先进的随机求解器相比都有很好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structured Sketching for Linear Systems
For linear systems $Ax=b$ we develop iterative algorithms based on a sketch-and-project approach. By using judicious choices for the sketch, such as the history of residuals, we develop weighting strategies that enable short recursive formulas. The proposed algorithms have a low memory footprint and iteration complexity compared to regular sketch-and-project methods. In a set of numerical experiments the new methods compare well to GMRES, SYMMLQ and state-of-the-art randomized solvers.
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