Explicit multivariate approximations from cell-average data
Sergio Amat, David Levin, Juan Ruiz-Alvarez, Dionisio F., Y\'a\~nez

TL;DR
This paper introduces a constructive method for high-order global approximation of smooth multivariate functions using cell-average data, employing B-spline based quasi-interpolation operators derived from univariate cases.
Contribution
It provides a new explicit procedure for high-order approximation from cell-average data and develops univariate B-spline quasi-interpolation operators for this purpose.
Findings
High-order point-value approximations from cell-average data
Development of univariate B-spline quasi-interpolation operators
Multivariate spline approximation via tensor products
Abstract
Given gridded cell-average data of a smooth multivariate function, we present a constructive explicit procedure for generating a high-order global approximation of the function. One contribution is the derivation of high order approximations to point-values of the function directly from the cell-average data. The second contribution is the development of univariate B-spline based high order quasi-interpolation operators using cell-average data. Multivariate spline quasi-interpolation approximation operators are obtained by tensor products of the univariate operators.
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques
