Based on the state space analysis, the time series analysis method for identification of the stochastic continuous signals, proved as consistent convergence, is given.

基于状态空间分析，给出了连续随机信号建模的时间序列分析方法，并证明了参数估计的一致收敛性。

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In this paper, a method is presented for solving non differentiable equations in Banach space. At the same time, we analysis its convergence and get error estimates.

本文提出了一种解非线性不可微方程的迭代方法，分析了其收敛性并给出了误差估计，取得了很好的效果。

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We prove the finite convergence of CLAR-LASSO and analyze its time and space complexity.

我们证明了CLAR - LASSO的有限收敛性，并分析了它的时间复杂度和空间复杂度。

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In a time of DVDs and dial-up, "convergence" in the space was focused on the ability for consoles to play back movies rented at Blockbuster.

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