---
_id: '34633'
article_number: '114118'
author:
- first_name: Kerstin
full_name: Hesse, Kerstin
id: '42608'
last_name: Hesse
orcid: 0000-0003-4125-1941
- first_name: Quoc Thong
full_name: Le Gia, Quoc Thong
last_name: Le Gia
citation:
ama: Hesse K, Le Gia QT. L_2 error estimates for polynomial discrete penalized least-squares
approximation on the sphere from noisy data. Journal of Computational and Applied
Mathematics. 2022;408. doi:10.1016/j.cam.2022.114118
apa: 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
bibtex: '@article{Hesse_Le Gia_2022, title={L_2 error estimates for polynomial discrete
penalized least-squares approximation on the sphere from noisy data}, volume={408},
DOI={10.1016/j.cam.2022.114118},
number={114118}, journal={Journal of Computational and Applied Mathematics}, publisher={Elsevier
BV}, author={Hesse, Kerstin and Le Gia, Quoc Thong}, year={2022} }'
chicago: Hesse, Kerstin, and Quoc Thong Le Gia. “L_2 Error Estimates for Polynomial
Discrete Penalized Least-Squares Approximation on the Sphere from Noisy Data.”
Journal of Computational and Applied Mathematics 408 (2022). https://doi.org/10.1016/j.cam.2022.114118.
ieee: 'K. Hesse and Q. T. Le Gia, “L_2 error estimates for polynomial discrete penalized
least-squares approximation on the sphere from noisy data,” Journal of Computational
and Applied Mathematics, vol. 408, Art. no. 114118, 2022, doi: 10.1016/j.cam.2022.114118.'
mla: Hesse, Kerstin, and Quoc Thong Le Gia. “L_2 Error Estimates for Polynomial
Discrete Penalized Least-Squares Approximation on the Sphere from Noisy Data.”
Journal of Computational and Applied Mathematics, vol. 408, 114118, Elsevier
BV, 2022, doi:10.1016/j.cam.2022.114118.
short: K. Hesse, Q.T. Le Gia, Journal of Computational and Applied Mathematics 408
(2022).
date_created: 2022-12-20T17:37:16Z
date_updated: 2023-01-09T08:23:56Z
department:
- _id: '10'
doi: 10.1016/j.cam.2022.114118
intvolume: ' 408'
keyword:
- Applied Mathematics
- Computational Mathematics
language:
- iso: eng
publication: Journal of Computational and Applied Mathematics
publication_identifier:
issn:
- 0377-0427
publication_status: published
publisher: Elsevier BV
status: public
title: L_2 error estimates for polynomial discrete penalized least-squares approximation
on the sphere from noisy data
type: journal_article
user_id: '14931'
volume: 408
year: '2022'
...