linear and iterative algorithm 线性化迭代算法
A new linear iterative algorithm for estimating the fundamental matrix is presented.
提出了一种新的估计基本矩阵的线性迭代算法。
A statistical method for retrieving the total water vapor and cloud liquid water content and a non-linear iterative algorithm for retrieving the water vapor profiles in the troposphere are discussed.
讨论了水汽总量和云中液态水含量的统计反演法以及水汽垂直分布的迭代反演法。
In this paper, a parallel iterative algorithm for linear equations is given by approximating inverse of a matrix.
文章利用近似逆矩阵构造了一类求解线性方程组的并行迭代算法。
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