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Metric tensors for the interpolation error and its gradient in Lp norm

2012/01/08 by Yin, Xiaobo, Xie, Hehu
#65N30 #65N50 #FOS: Mathematics #Numerical Analysis (math.NA)

paper · doi:10.48550/arxiv.1201.1632

Abstract

A uniform strategy to derive metric tensors in two spatial dimension for interpolation errors and their gradients in Lp norm is presented. It generates anisotropic adaptive meshes as quasi-uniform ones in corresponding metric space, with the metric tensor being computed based on a posteriori error estimates in different norms. Numerical results show that the corresponding convergence rates are always optimal.

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