A non-separable progressive multivariate WENO-$2r$ point value
<|reference_start|>A non-separable progressive multivariate WENO-$2r$ point value: The weighted essentially non-oscillatory {technique} using a stencil of $2r$ points (WENO-$2r$) is an interpolatory method that consists in obtaining a higher approximation order from the non-linear combination of interpolants of $r+1$ nodes. The result is an interpolant of order $2r$ at the smooth parts and order $r+1$ when an isolated discontinuity falls at any grid interval of the large stencil except at the central one. Recently, a new WENO method based on Aitken-Neville's algorithm has been designed for interpolation of equally spaced data at the mid-points and presents progressive order of accuracy close to discontinuities. This paper is devoted to constructing a general progressive WENO method for non-necessarily uniformly spaced data and several variables interpolating in any point of the central interval. Also, we provide explicit formulas for linear and non-linear weights and prove the order obtained. Finally, some numerical experiments are presented to check the theoretical results.<|reference_end|>
@article{mulet2024a,
    title={A non-separable progressive multivariate WENO-$2r$ point value},
    author={Pep Mulet and Juan Ruiz-Alvarez and Chi-Wang Shu and Dionisio F.
  Y'a~nez},
    journal={arXiv preprint arXiv:2404.16694},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.16694},
    primaryClass={math.NA cs.NA}
}