Basing on the moving least-squares approximation, the node distribution in EFM is very free.
无单元法采用基于滑动最小二乘近似的位移插值形式，节点布置变得非常自由。
However, the generalized moving least squares approximation makes require least squares approximation with regard to functional and its derivative value on all nodes.
而广义移动最小二乘近似要求近似函数及其导数在所有节点处的误差的平方和最小。
This article focuses on the topics that by connecting the the least-squares Minimization with the functional abstract space, the abstract definition of the best approximation problem is abtained.
把计算方法中的最小二乘法与泛函的抽象空间联系起来，得到最佳逼近问题的抽象提法，并在赋范线性空间探讨最小二乘法。
The method of least squares approximation for non-circular curve is suggested.
提出了一种利用最小二乘圆弧逼近非圆曲线的方法。
The least squares solution of inverse problems of generalized skew symmetric matrices and It's optimal approximation problems are discussed.
讨论了线性流形上广义次对称矩阵反问题的最小二乘解及其逼近问题。
Consequently, a method based on the least squares approximation is advanced to support variant design, so that the trade-off between product performance and cost can be achieved.
其次给出了一种基于最小二乘逼近的产品变型配置设计方法。利用模拟退火算法得到了符合客户个性化需求的最优变量配置方案，即产品的性能和成本之间的平衡点。
A meshless method using the moving least squares approximation is improved and applied to the numerical computation of electromagnetic fields.
本文将无网格算法推广应用于电磁场的数值计算。
A meshless method using the moving least squares approximation is improved and applied to the numerical computation of electromagnetic fields.
本文将无网格算法推广应用于电磁场的数值计算。
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