Piecewise Padé-Chebyshev Reconstruction of Bivariate Piecewise Smooth Functions
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We extend the idea of approximating piecewise smooth univariate functions using rational approximation introduced in <cit.> to two-dimensional space. This article aims to implement the novel piecewise Maehly based Padé-Chebyshev approximation <cit.>. We first develop a method referred to as PiPC to approximate univariate piecewise smooth functions and then extend the same to a two-dimensional space, leading to a bivariate piecewise Padé-Chebyshev approximation (Pi2DPC) for approximating piecewise smooth functions in two-dimension. We study the utility of the proposed techniques in minimizing the Gibbs phenomenon while approximating piecewise smooth functions. The chief advantage of these methods lies in their non-dependence on any apriori knowledge of the locations and types of singularities (if any) present in the original function. Finally, we supplement our methods with numerical results to validate their effectiveness in diminishing the Gibbs phenomenon to negligible levels.
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