<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e3093" altimg="si1084.svg"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> error estimates for polynomial discrete penalized least-squares approximation on the sphere from noisy data-Reference-Cited by-同舟云学术

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L2 error estimates for polynomial discrete penalized least-squares approximation on the sphere from noisy data

Published:2022-07 Issue: Volume:408 Page:114118
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Hesse Kerstin^ORCID,Le Gia Quoc Thong

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference33 articles.

1. Multiscale Modelling of Spaceborne Geodata;Freeden,1999

2. Multiscale Potential Theory (with Applications to Geoscience);Freeden,2004

3. Handbook of Mathematical Geodesy (Functional Analytic and Potential Theoretic Methods),2018

4. Spherical Sampling;Freeden,2018

5. Handbook of Geomathematics,2015

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1. Least squares spherical harmonics approximation on the Cubed Sphere;Journal of Computational and Applied Mathematics;2023-09

2. Adaptive Dark Channel Prior Enhancement Algorithm for Different Source Night Vision Halation Images;IEEE Access;2022

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