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        <title type="main" level="a">Data fitting schemes with hierarchical splines</title>
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          <persName n="1" ref="https://orcid.org/0009-0003-9116-9978" type="ORCID">
            <forename>Sofia</forename>
            <surname>Imperatore</surname>
            <placeName type="affiliation">Technical University of Eindhoven, Netherlands</placeName>
          </persName>
        </author>
        <respStmt>
          <resp>This is a section of <title>Adaptive spline approximation: data-driven parameterization and CAD model (re-)construction</title>(DOI: <idno type="DOI">10.36253/979-12-215-1002-7</idno>) by </resp>
          <name>Sofia Imperatore</name>
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      <publicationStmt>
        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2026">2026</date>
        <idno type="DOI">https://doi.org/10.36253/979-12-215-1002-7.05</idno>
        <availability>
          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by/4.0/legalcode">
            <p>Content licence CC BY 4.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>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.</p>
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          <list>
            <item>data fitting</item>
            <item>interpolation</item>
            <item>least-square</item>
            <item>re-weighted least-square</item>
            <item>quasi-interpolation</item>
            <item>hierarchical quasi-interpolation</item>
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      <p>It is available online at https://doi.org/10.36253/979-12-215-1002-7.05<ref target="https://doi.org/10.36253/979-12-215-1002-7.05" /></p>
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