Performance Of Interpolating Approximation Schemes In Mlpg Meshless Solver
INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019(2020)
摘要
An interpolating moving least square (MLS) approximation was applied in the Meshless Petrov Galerkin method for a solution of Laplace equation. Accuracy and calculation complexity have been analyzed. Results show that original and interpolating MLS schemes are comparable in accuracy, with a small advantage for MLS. The interpolating MLS supports the direct imposition of essential boundary conditions, like in FEM.
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