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Schur Functions for Approximation Problems by Sukhorukova, Nadezda; Ugon, Julien is a scholarly article available to read on EtoBox.

What is Schur Functions for Approximation Problems about?

In this paper we propose a new approach to least squares approximation problems. This approach is based on partitioning and Schur function. The nature of this approach is combinatorial, while most existing approaches are based on algebra and algebraic geometry. This problem has several practical applications. One of them is curve clustering. We use this application to illustrate the results.

Author

Sukhorukova, Nadezda; Ugon, Julien

Published

2018

Language

EN