{"keyword":["Applied Mathematics","Computational Mathematics"],"_id":"34633","title":"L_2 error estimates for polynomial discrete penalized least-squares approximation on the sphere from noisy data","citation":{"ama":"Hesse K, Le Gia QT. L_2 error estimates for polynomial discrete penalized least-squares approximation on the sphere from noisy data. <i>Journal of Computational and Applied Mathematics</i>. 2022;408. doi:<a href=\"https://doi.org/10.1016/j.cam.2022.114118\">10.1016/j.cam.2022.114118</a>","apa":"Hesse, K., &#38; Le Gia, Q. T. (2022). L_2 error estimates for polynomial discrete penalized least-squares approximation on the sphere from noisy data. <i>Journal of Computational and Applied Mathematics</i>, <i>408</i>, Article 114118. <a href=\"https://doi.org/10.1016/j.cam.2022.114118\">https://doi.org/10.1016/j.cam.2022.114118</a>","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.” <i>Journal of Computational and Applied Mathematics</i> 408 (2022). <a href=\"https://doi.org/10.1016/j.cam.2022.114118\">https://doi.org/10.1016/j.cam.2022.114118</a>.","short":"K. Hesse, Q.T. Le Gia, Journal of Computational and Applied Mathematics 408 (2022).","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={<a href=\"https://doi.org/10.1016/j.cam.2022.114118\">10.1016/j.cam.2022.114118</a>}, number={114118}, journal={Journal of Computational and Applied Mathematics}, publisher={Elsevier BV}, author={Hesse, Kerstin and Le Gia, Quoc Thong}, year={2022} }","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,” <i>Journal of Computational and Applied Mathematics</i>, vol. 408, Art. no. 114118, 2022, doi: <a href=\"https://doi.org/10.1016/j.cam.2022.114118\">10.1016/j.cam.2022.114118</a>.","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.” <i>Journal of Computational and Applied Mathematics</i>, vol. 408, 114118, Elsevier BV, 2022, doi:<a href=\"https://doi.org/10.1016/j.cam.2022.114118\">10.1016/j.cam.2022.114118</a>."},"year":"2022","article_number":"114118","publication":"Journal of Computational and Applied Mathematics","publisher":"Elsevier BV","user_id":"14931","department":[{"_id":"10"}],"status":"public","author":[{"last_name":"Hesse","full_name":"Hesse, Kerstin","orcid":"0000-0003-4125-1941","id":"42608","first_name":"Kerstin"},{"first_name":"Quoc Thong","last_name":"Le Gia","full_name":"Le Gia, Quoc Thong"}],"language":[{"iso":"eng"}],"doi":"10.1016/j.cam.2022.114118","publication_status":"published","date_updated":"2023-01-09T08:23:56Z","date_created":"2022-12-20T17:37:16Z","intvolume":"       408","type":"journal_article","volume":408,"publication_identifier":{"issn":["0377-0427"]}}