预处理程序
数学
广义最小残差法
托普利兹矩阵
循环矩阵
Krylov子空间
应用数学
上下界
迭代法
收敛速度
趋同(经济学)
条件编号
数学分析
数学优化
算法
特征向量
频道(广播)
计算机科学
计算机网络
物理
量子力学
纯数学
经济
经济增长
作者
Zi‐Hang She,Li-Min Qiu,Wei Qu
标识
DOI:10.1016/j.matcom.2022.07.003
摘要
In this paper, a respectively scaled circulant and skew-circulant splitting (RSCSCS) iteration method is employed to solve the Toeplitz-like linear systems arising from time-dependent Riesz space fractional diffusion equations with variable coefficients. The RSCSCS iteration method is shown to be convergent unconditionally by a novel technique, and only requires computational costs of O(NlogN) with N denoting the number of interior mesh points in space. In theory, we obtain an upper bound for the convergence factor of the RSCSCS iteration method and discuss the optimal value of its iteration parameter that minimizes the corresponding upper bound. Meanwhile, we also design a fast induced RSCSCS preconditioner to accelerate the convergence rate of the Krylov subspace iteration method likes generalized minimal residual (GMRES) method. Numerical results are presented to show that the efficiencies of our proposed RSCSCS iteration method and the preconditioned GMRES method with the RSCSCS preconditioner.
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