高斯-赛德尔法
多重网格法
加速度
数学
泊松方程
离散泊松方程
泊松分布
高斯
应用数学
数学分析
迭代法
物理
偏微分方程
算法
经典力学
拉普拉斯方程
统计
量子力学
标识
DOI:10.1016/0096-3003(95)00276-6
摘要
Abstract A new relaxation analysis and two acceleration schemes are proposed for the five-point red-black Gauss-Seidel smoothing in multigrid for solving a two-dimensional Poisson equation. For a multigrid V cycle, we discovered that underrelaxation is applicable to restriction half cycle and overrelaxation is applicable to interpolation half cycle. Numerical experiments using modified multigrid V cycle algorithms show that our simple acceleration schemes accelerate the convergence rate by as much as 34% with negligible cost. This result is contrary to the existing belief that SOR is not suitable for using as a smoother in multigrid for Poisson equation, because the gain in computational savings would not pay for the cost of implementing it. More important is the idea of employing different parameters to accelerate the reduction of low- and high-frequency errors separately. Our discovery offers a new way for SOR smoothing in multigrid.
科研通智能强力驱动
Strongly Powered by AbleSci AI