Discrete Least Squares Hybrid Approximation with Regularization on the Two-Sphere

Discrete Least Squares Hybrid Approximation with Regularization on the Two-Sphere

Year:    2015

International Journal of Numerical Analysis and Modeling, Vol. 12 (2015), Iss. 2 : pp. 328–342

Abstract

In this paper we consider the discrete constrained least squares problem coming from numerical approximation by hybrid scheme on the sphere, which applies both radial basis functions and spherical polynomials. We propose a novel $l_2-l_1$ regularized least square model for this problem and show that it is a generalized model of the classical "saddle point" model. We apply the alternating direction algorithm to solve the $l_2-l_1$ model and propose a convenient stopping criterion for the algorithm. Numerical results show that our model is more efficient and accurate than other models.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2015-IJNAM-492

International Journal of Numerical Analysis and Modeling, Vol. 12 (2015), Iss. 2 : pp. 328–342

Published online:    2015-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    15

Keywords:    Regularized least squares hybrid approximation alternating direction method.