Global and explicit approximation of piecewise smooth 2D functions from cell-average data
Sergio Amat, David Levin, Juan Ruiz-Alvarez, Dionisio F., Y\'a\~nez

TL;DR
This paper introduces a global, explicit method for approximating piecewise smooth 2D functions from cell-average data, effectively identifying singularity curves and achieving high-order accuracy.
Contribution
It presents a novel algorithm that accurately detects singularity curves and constructs high-order piecewise smooth approximations from cell-average data.
Findings
Improved convergence rates for singularity curve approximation
Explicit global formula for piecewise approximation
High-order accuracy in reconstructing the function
Abstract
Given cell-average data values of a piecewise smooth bivariate function within a domain , we look for a piecewise adaptive approximation to . We are interested in an explicit and global (smooth) approach. Bivariate approximation techniques, as trigonometric or splines approximations, achieve reduced approximation orders near the boundary of the domain and near curves of jump singularities of the function or its derivatives. Whereas the boundary of is assumed to be known, the subdivision of to subdomains on which is smooth is unknown. The first challenge of the proposed approximation algorithm would be to find a good approximation to the curves separating the smooth subdomains of . In the second stage, we simultaneously look for approximations to the different smooth segments of , where on each segment we approximate the function by a linear…
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques · Advanced Numerical Methods in Computational Mathematics · Mathematical Approximation and Integration
