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Classification of Bivariate Configurations with Simple Lagrange Interpolation Formulae

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Abstract

In 1977 Chung and Yao introduced a geometric characterization in multivariate interpolation in order to identify distributions of points such that the Lagrange functions are products of real polynomials of first degree. We discuss and describe completely all these configurations up to degree 4 in the bivariate case. The number of lines containing more nodes than the degree is used for classifying these configurations.

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Carnicer, J., Gasca, M. Classification of Bivariate Configurations with Simple Lagrange Interpolation Formulae. Advances in Computational Mathematics 20, 5–16 (2004). https://doi.org/10.1023/A:1025823727706

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  • DOI: https://doi.org/10.1023/A:1025823727706

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