Multivariate approximation at fake nodes

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摘要

The main goal of the present paper is to extend the interpolation via the so-called mapped bases without resampling to any basis and dimension. So far indeed, we investigated the univariate case, its extension to rational polynomial interpolation and its natural application to numerical integration.The concept of mapped bases has been widely studied, but all the proposed methods show convergence provided that the function is resampled at the mapped nodes. In applications, this is often physically unfeasible. Thus, we propose an effective method for interpolating via mapped bases in the multivariate setting. We might refer to the method as Fake Nodes Approach (FNA). Our theoretical results are confirmed by various numerical experiments devoted to point out the robustness of the proposed scheme.

论文关键词:Multivariate polynomial interpolation,Kernel-based interpolation,Gibbs phenomenon,Runge phenomenon,Mapped bases

论文评审过程:Received 18 May 2020, Accepted 15 August 2020, Available online 8 October 2020, Version of Record 8 October 2020.

论文官网地址:https://doi.org/10.1016/j.amc.2020.125628