MLS：移动最小二乘法

“Moving Least Squares”（简称MLS）是“移动最小二乘法”的英文表达，这一术语在计算机图形学、数值分析和工程计算等领域广泛应用。采用缩写MLS不仅便于书写和交流，也有助于在多学科研究中实现术语的统一与高效传播。该方法以其在曲面拟合、形变模拟等方面的灵活性而备受关注。

Based on the moving least squares method, an effective meshless method was developed for the free vibration problems of elastic body.
介绍了无网格法采用移动最小二乘法(MLS)构造形函数，引入罚参数满足边界条件，对弹性体的自由振动问题进行了分析。
In order to handle the non-uniform sampling points fitting, this paper presents an adaptive adjustment of the radius of influence domain with the moving least squares ( RSRMLS ).
针对传统的移动最小二乘法(MLS)在非均匀分布的采样点集拟合中的不足，提出了影响域半径动态调整的移动最小二乘法(MLS)（RSRMLS）。
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。
RSR moving least squares for non-uniform points cloud fitting
面向非匀点云拟合的RSR移动最小二乘法(MLS)
Smooth Texture Mapping Based on Moving Least Squares(MLS) for Image Deformation
图像形变中基于MLS的光滑纹理映射技术

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