T(q,r)阵BPSD迭代的收敛性

CONVERGENCE OF BPSD METHOD FOR T(q.r)MATRIX

  • 摘要: 本文由方程组Ax=f的系数矩阵AT(q,r)阵建立了BSSOR阵和块Jacobi阵特征值的关系式,从而对讨论了T(1,1)阵和T(1,2)阵BPSD迭代的收敛性和T(1,1)阵的最佳参数以及A为其它矩阵时PSD迭代的收敛性。推导简单有趣。

     

    Abstract: In this paper, we obtain a necessary and sufficient condition, when the coefficient matrix A of the equation Ax=f considered is an T(1, 1) matrix,a sufficient condition, when A is an T(1, 2) or T(2, 1) matrix for the convergence of BPSD method.we also obtain the optimum parameters and the optimum rate of convergence of BPSD method, when A is an T(1, 1) matrix and a necessary and sufficient condition, when A is postive definite and we point out that the necessary and sufficient condition in 1 and 9 is only sufficient. The derivation is simple and interesting. Our method can also be used to prove the convergence of some other iterative methods.

     

/

返回文章
返回