A Recovery-Based Error Indicator for Finite Difference Methods

Abstract A novel recovery-based error indicator for high-order Finite Difference Methods, based on post-processing of the Finite Difference values is presented. The values obtained on the Finite Difference grid are interpolated into a suitable polynomial Finite Element space. A recovery-based error indicator, with the polynomial-preserving property of [18, 27], is then applied to estimate the gradient error. The performance and accuracy of the proposed error indicator are demonstrated through several numerical experiments, including the two-dimensional Poisson problem solved using second- and fourth-order finite difference schemes. Additional experiments are conducted on elliptic problems with discontinuous coefficients, as well as on the two and three-dimensional wave equation in homogeneous media with second- and fourth-order finite differences, and in heterogeneous media with second-order finite differences.

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Publication Details

Journal
Journal of Scientific Computing
Published
2026-10-18
DOI
https://doi.org/10.1007/s10915-026-03514-2
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

A Recovery-Based Error Indicator for Finite Difference Methods

Marco Picasso, Annalisa Buffa, Ferhat Sindy
Journal of Scientific Computing
Advanced Numerical Methods in Computational Mathematics
article

A Recovery-Based Error Indicator for Finite Difference Methods

Marco Picasso, Annalisa Buffa, Ferhat Sindy
article en

Abstract

Abstract A novel recovery-based error indicator for high-order Finite Difference Methods, based on post-processing of the Finite Difference values is presented. The values obtained on the Finite Difference grid are interpolated into a suitable polynomial Finite Element space. A recovery-based error indicator, with the polynomial-preserving property of [18, 27], is then applied to estimate the gradient error. The performance and accuracy of the proposed error indicator are demonstrated through several numerical experiments, including the two-dimensional Poisson problem solved using second- and fourth-order finite difference schemes. Additional experiments are conducted on elliptic problems with discontinuous coefficients, as well as on the two and three-dimensional wave equation in homogeneous media with second- and fourth-order finite differences, and in heterogeneous media with second-order finite differences.

Journal of Scientific ComputingVol. 109(3)
École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 95%
Advanced Numerical Methods in Computational Mathematics
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A Recovery-Based Error Indicator for Finite Difference Methods — Marco Picasso, Annalisa Buffa, et al. · Journal of Scientific Computing (2026) | TGRS Research Map | TGRS