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Preconditioned Bi-conjugate Gradient Method of large-scale complex linear equations

机译:大规模复合线性方程的预处理双共轭梯度法

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Bi-conjugate Gradient Method (BCG) has potential problems on slow convergence or divergence when complex linear equations are large-scale or coefficient matrix of complex linear equations is ill. Fortunately, appropriate preconditioning techniques can speed convergence by reducing condition number of ill matrix. Based on a real incomplete Cholesky decomposition preconditioner, a preconditioned method for complex linear equations is built in this paper, and then a preconditioned bi-conjugate gradient method (PBCG) is obtained by combining the preconditioner and bi-conjugate gradient method. Numerical examples show that the preconditioned bi-conjugate gradient method is speedy, high-performance and applicable to solve system of large-scale complex linear equations.
机译:双缀合物梯度法(BCG)在复杂的线性方程是大规模或复杂线性方程的大规模或系数矩阵时,对缓慢收敛或发散具有潜在的问题。幸运的是,适当的预处理技术可以通过减少不良矩阵的条件数来速度收敛。基于真实不完整的尖头分解预处理器,本文建立了一种复杂线性方程的预处理方法,然后通过组合预处理器和双缀合物梯度方法来获得预处理的双缀合物梯度法(PBCG)。数值示例表明,预处理的双缀合物梯度方法是快速,高性能,适用于求解大规模复杂线性方程的系统。

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