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- W2181487666 abstract "Recent developments in meshless methods and moving least squares (MLS) approximation are based on the concept of generalized MLS (GMLS) where a functional can be directly approximated by the meshless data. First, we link the special case of GMLS to the so-called diffuse derivatives and prove the optimal rate of convergence of this derivatives toward the exact derivatives. Second, using a GMLS approximation a new direct MLPG technique, called DMLPG, is presented. This method recovers test functionals directly from values at nodes, without any detour via shape functions. This leads to a cheaper and even more accurate scheme. Most of this work is based on recent collaboration with Robert Schaback �" @default.
- W2181487666 created "2016-06-24" @default.
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- W2181487666 date "2013-01-01" @default.
- W2181487666 modified "2023-09-27" @default.
- W2181487666 title "Recent developments in MLS based meshless methods" @default.
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