And the error bound of the simplified Markov model is mainly discussed.
并且对该简化方法的误差界限进行了讨论。
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。
应用推荐