本文使用奇异值分解法求解矩阵方程的最小二乘解。
A least squares solution via singular value decomposition is used to solve the matrix equation.
构造了一种迭代法求一类矩阵方程的最小二乘双对称解。
An algorithm was constructed to solve the least squares bisymmetric solution of a class of matrix equation.
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。
In this paper, an iterative method is presented to find the least squares centrosymmetric solution to a kind of matrix equations.
通过求解由一阶泰勒展开式得到的线性方程组，避免了为求解此平面而求解非线性方程组最小二乘解的过程，使算法简化。
The first order Taylor series expansion replaces the non-linear equation used in solving this plane, and thus simplifies the algorithm.
边界积分方程首先被转化为相应的变分形式，然后用移动最小二乘近似的形函数构造解空间。
The BIE is firstly converted into a variational formulation, and then the MLS shape functions are used to generate the approximate space.
边界积分方程首先被转化为相应的变分形式，然后用移动最小二乘近似的形函数构造解空间。
The BIE is firstly converted into a variational formulation, and then the MLS shape functions are used to generate the approximate space.
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