Kerstin Hesse

Institut für Mathematik
kerstin.hesse@uni-paderborn.de
ID
42608

4 Publications

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[4]
2022 | Journal Article | LibreCat-ID: 34633
Hesse, K., & Le Gia, Q. T. (2022). L_2 error estimates for polynomial discrete penalized least-squares approximation on the sphere from noisy data. Journal of Computational and Applied Mathematics, 408, Article 114118. https://doi.org/10.1016/j.cam.2022.114118
LibreCat | DOI
 
[3]
2021 | Journal Article | LibreCat-ID: 34629
Hesse, K., Sloan, I. H., & Womersley, R. S. (2021). Local RBF-based penalized least-squares approximation on the sphere with noisy scattered data. Journal of Computational and Applied Mathematics, 382, Article 113061. https://doi.org/10.1016/j.cam.2020.113061
LibreCat | DOI
 
[2]
2020 | Book Chapter | LibreCat-ID: 34632
Hesse, K. (2020). RBF-based penalized least-squares approximation of noisy scattered data on the sphere. In F. J. Hickernell & P. Kritzer (Eds.), Multivariate Algorithms and Information-Based Complexity (pp. 33–42). De Gruyter.
LibreCat
 
[1]
2017 | Journal Article | LibreCat-ID: 34631
Hesse, K., Sloan, I. H., & Womersley, R. S. (2017). Radial basis function approximation of noisy scattered data on the sphere. Numerische Mathematik, 137(3), 579–605. https://doi.org/10.1007/s00211-017-0886-6
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4 Publications

Mark all

[4]
2022 | Journal Article | LibreCat-ID: 34633
Hesse, K., & Le Gia, Q. T. (2022). L_2 error estimates for polynomial discrete penalized least-squares approximation on the sphere from noisy data. Journal of Computational and Applied Mathematics, 408, Article 114118. https://doi.org/10.1016/j.cam.2022.114118
LibreCat | DOI
 
[3]
2021 | Journal Article | LibreCat-ID: 34629
Hesse, K., Sloan, I. H., & Womersley, R. S. (2021). Local RBF-based penalized least-squares approximation on the sphere with noisy scattered data. Journal of Computational and Applied Mathematics, 382, Article 113061. https://doi.org/10.1016/j.cam.2020.113061
LibreCat | DOI
 
[2]
2020 | Book Chapter | LibreCat-ID: 34632
Hesse, K. (2020). RBF-based penalized least-squares approximation of noisy scattered data on the sphere. In F. J. Hickernell & P. Kritzer (Eds.), Multivariate Algorithms and Information-Based Complexity (pp. 33–42). De Gruyter.
LibreCat
 
[1]
2017 | Journal Article | LibreCat-ID: 34631
Hesse, K., Sloan, I. H., & Womersley, R. S. (2017). Radial basis function approximation of noisy scattered data on the sphere. Numerische Mathematik, 137(3), 579–605. https://doi.org/10.1007/s00211-017-0886-6
LibreCat | DOI
 
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