Book Chapter

Data fitting schemes with hierarchical splines

  • Sofia Imperatore

In this Chapter, we exploit two main approximation methods to define the a THB-spline model: reweighted least-square (rWLS) approximation and the Quasi-Interpolation (QI) schemes. In particular, we first focus on two very well established classical methods: interpolation and weighted least squares, and extend the latter as an adaptive rWLS fitting scheme. Subsequently, we present a hierarchical QI scheme with THB-spline.

  • Keywords:
  • data fitting,
  • interpolation,
  • least-square,
  • re-weighted least-square,
  • quasi-interpolation,
  • hierarchical quasi-interpolation,
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Sofia Imperatore

Technical University of Eindhoven, Netherlands - ORCID: 0009-0003-9116-9978

PDF
  • Publication Year: 2026
  • Pages: 39-68
  • Content License: CC BY 4.0
  • © 2026 Author(s)

XML
  • Publication Year: 2026
  • Content License: CC BY 4.0
  • © 2026 Author(s)

Chapter Information

Chapter Title

Data fitting schemes with hierarchical splines

Authors

Sofia Imperatore

Language

English

DOI

10.36253/979-12-215-1002-7.05

Peer Reviewed

Publication Year

2026

Copyright Information

© 2026 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

Adaptive spline approximation: data-driven parameterization and CAD model (re-)construction

Authors

Sofia Imperatore

Peer Reviewed

Number of Pages

196

Publication Year

2026

Copyright Information

© 2026 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-1002-7

ISBN Print

979-12-215-1001-0

eISBN (pdf)

979-12-215-1002-7

eISBN (xml)

979-12-215-1003-4

Series Title

Premio Tesi di Dottorato Città di Firenze

Series ISSN

3103-3881

Series E-ISSN

3103-3989

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