In this paper, an iterative method is presented to find the least squares centrosymmetric solution to a kind of matrix equations.
本文提出了求一类矩阵方程组的最小二乘中心对称解的一种迭代法。
Last, we apply the dual quaternion algorithm to matching algorithm of 3d object recognition and make use of least-squares technique to propose a matching method based on iterative closest point.
论文将对偶四元数法应用到三维物体识别的匹配算法中，利用最小二乘的思想提出了一种基于迭代最近点的匹配算法。
By introducing the micro-disposal method and the iterative algorithm, we can use the least squares approach to solve the nonlinear equations progressively by a series of linear equations.
通过引入微处理方法和迭代算法，我们可以用最小二乘法求解非线性方程逐步由一系列线性方程组。
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