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An Examination of New Paradigms for Spline Approximations
Lavery splines are examined in the univariate and bivariate cases. In both instances relaxation based algorithms for approximate calculation of Lavery splines are proposed. Following previous work Gilsinn, et al. [7] addressing the bivariate case, a rotationally invariant functional is assumed. The...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662495/ https://www.ncbi.nlm.nih.gov/pubmed/27274917 http://dx.doi.org/10.6028/jres.111.005 |
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author | Witzgall, Christoph Gilsinn, David E. McClain, Marjorie A. |
author_facet | Witzgall, Christoph Gilsinn, David E. McClain, Marjorie A. |
author_sort | Witzgall, Christoph |
collection | PubMed |
description | Lavery splines are examined in the univariate and bivariate cases. In both instances relaxation based algorithms for approximate calculation of Lavery splines are proposed. Following previous work Gilsinn, et al. [7] addressing the bivariate case, a rotationally invariant functional is assumed. The version of bivariate splines proposed in this paper also aims at irregularly spaced data and uses Hseih-Clough-Tocher elements based on the triangulated irregular network (TIN) concept. In this paper, the univariate case, however, is investigated in greater detail so as to further the understanding of the bivariate case. |
format | Online Article Text |
id | pubmed-4662495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-46624952016-06-03 An Examination of New Paradigms for Spline Approximations Witzgall, Christoph Gilsinn, David E. McClain, Marjorie A. J Res Natl Inst Stand Technol Article Lavery splines are examined in the univariate and bivariate cases. In both instances relaxation based algorithms for approximate calculation of Lavery splines are proposed. Following previous work Gilsinn, et al. [7] addressing the bivariate case, a rotationally invariant functional is assumed. The version of bivariate splines proposed in this paper also aims at irregularly spaced data and uses Hseih-Clough-Tocher elements based on the triangulated irregular network (TIN) concept. In this paper, the univariate case, however, is investigated in greater detail so as to further the understanding of the bivariate case. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2006 2006-04-01 /pmc/articles/PMC4662495/ /pubmed/27274917 http://dx.doi.org/10.6028/jres.111.005 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Article Witzgall, Christoph Gilsinn, David E. McClain, Marjorie A. An Examination of New Paradigms for Spline Approximations |
title | An Examination of New Paradigms for Spline Approximations |
title_full | An Examination of New Paradigms for Spline Approximations |
title_fullStr | An Examination of New Paradigms for Spline Approximations |
title_full_unstemmed | An Examination of New Paradigms for Spline Approximations |
title_short | An Examination of New Paradigms for Spline Approximations |
title_sort | examination of new paradigms for spline approximations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662495/ https://www.ncbi.nlm.nih.gov/pubmed/27274917 http://dx.doi.org/10.6028/jres.111.005 |
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