- Title
- Schur functions for approximation problems
- Creator
- Sukhorukova, Nadezda; Ugon, Julien; Yost, David
- Date
- 2020
- Type
- Text; Book chapter
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/184617
- Identifier
- vital:16555
- Identifier
-
https://doi.org/10.1007/978-3-030-38230-8_22
- Identifier
- ISBN:2523-3041
- Abstract
- 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.
- Publisher
- Springer International Publishing
- Relation
- 2018 Matrix Annals p. 331-337
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © Springer Nature Switzerland AG 2020
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