--- _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' ...