离散化
移动最小二乘法
正交(天文学)
伽辽金法
搭配(遥感)
数学
π的近似
应用数学
间断伽辽金法
正则化无网格法
数学优化
数学分析
有限元法
计算机科学
奇异边界法
物理
边界元法
热力学
机器学习
光学
作者
Ted Belytschko,Y. Krongauz,D. Organ,Mark Fleming,Petr Krysl
标识
DOI:10.1016/s0045-7825(96)01078-x
摘要
Meshless approximations based on moving least-squares, kernels, and partitions of unity are examined. It is shown that the three methods are in most cases identical except for the important fact that partitions of unity enable p-adaptivity to be achieved. Methods for constructing discontinuous approximations and approximations with discontinuous derivatives are also described. Next, several issues in implementation are reviewed: discretization (collocation and Galerkin), quadrature in Galerkin and fast ways of constructing consistent moving least-square approximations. The paper concludes with some sample calculations.
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