The global convergence and linear convergence rate are proved under some mild conditions.
一些温和的条件下证明了全局收敛性和线性收敛速率。
Under some conditions, the global convergence and the super-linear convergence are proven.
在一定的假设条件下，证明了该算法的全局收敛性和超线性收敛。
In this paper an iterative solution with linear convergence rate is presented for linear system.
本文给出一种线性收敛的线性方程组迭代解法。
By means of analysing the global error bound, we prove that the method has a R-linear convergence rate.
借助于全局误差界的分析，证明了所提方法具有R -线性收敛速度。
Furthermore, by using an error bound condition, we establish linear convergence of the proposed algorithm.
在误差界假设条件下，我们得到了改进算法的线性收敛速度。
In addition, we have made a comparison between our methods and other usual ones and finally prove that these methods possess a linear convergence rate under comparatively strong conditions.
此外我们还将此类算法和一些常见算法做出比较，证明了该类算法在条件稍强的情况下具有线性收敛率。
In addition, we have made a comparison between our methods and other usual ones and finally prove that these methods possess a linear convergence rate under comparatively strong conditions.
此外我们还将此类算法和一些常见算法做出比较，证明了该类算法在条件稍强的情况下具有线性收敛率。
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