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Introduction to Meshfree Method. Speaker : Yu-Ling Chen Date : 2013/06/13. National Taiwan Ocean University Department of Systems Engineering & Naval Architecture. Moving Least-squares Approximation(MLS). x. a. a. x=s.
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Introduction to Meshfree Method Speaker:Yu-Ling Chen Date:2013/06/13 National Taiwan Ocean University Department of Systems Engineering & Naval Architecture
Moving Least-squares Approximation(MLS) x a a x=s Discrete Element Method(DEM) first employed MLS in the construction of “meshfree” discrete eq. Consider 1-D domain
Use the Reproducing Kernel Approximation to approximate the following functions • (1) • (2)
References 結論: 由以上圖表得知support size在1,2階時,設定為大於等於2就可以貼近解析解。但在第3階時,support size為2時反而離散,如果大於2時就可以貼近解析解。因此由以上得知階數越高並不代表精度可以更高。