摘要
奇异值分解是一种非常重要的矩阵分解,将其应用到曲面拟合上,给出一种基于奇异值分解的曲面拟合算法,并详细介绍该方法的原理.实验结果表明,采用该算法进行曲面拟合,能得到比较满意的拟合效果.
Singular value decomposition is a very important matrix decomposition,which is applied to surface fitting,a method of surface fitting based on singular value decomposition is presented,and the principle of this method is introduced in detail.The experimental results show that this algorithm can be used to fit the surface satisfactorily.
作者
郝强
HAO Qiang(Department of Mathematics,Changzhi University,Changzhi 046011,China)
出处
《太原师范学院学报（自然科学版）》
2020年第2期14-16,19,共4页
Journal of Taiyuan Normal University:Natural Science Edition
基金
长治学院校级科研项目(zc2017006)。
关键词
曲面拟合
矩阵分解
奇异值分解
surface fitting
matrix decomposition
singular value decomposition
