Elastic-net regularization versus ℓ 1 -regularization for linear inverse problems with quasi-sparse solutions-Reference-Cited by-同舟云学术

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Elastic-net regularization versus ℓ 1 -regularization for linear inverse problems with quasi-sparse solutions

Published:2016-12-09 Issue:1 Volume:33 Page:015004
ISSN:0266-5611
Container-title:Inverse Problems
language:
Short-container-title:Inverse Problems

Author:

Chen De-Han,Hofmann Bernd,Zou Jun

Funder

German Research Foundation

Hong Kong RGC

Publisher

IOP Publishing

Subject

Applied Mathematics,Computer Science Applications,Mathematical Physics,Signal Processing,Theoretical Computer Science

Link

https://iopscience.iop.org/article/10.1088/1361-6420/33/1/015004/pdf

Reference43 articles.

1. Regularization properties of the sequential discrepancy principle for Tikhonov regularization in Banach spaces

2. On the interplay of basis smoothness and specific range conditions occurring in sparsity regularization

3. Morozov's discrepancy principle for Tikhonov-type functionals with nonlinear operators

4. Iterative Methods for Approximate Solution of Inverse Problems

5. An extension of the variational inequality approach for obtaining convergence rates in regularization of nonlinear ill-posed problems

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2. Hybrid Projection Methods for Solution Decomposition in Large-Scale Bayesian Inverse Problems;SIAM Journal on Scientific Computing;2023-07-18

3. A projected homotopy perturbation method for nonlinear inverse problems in Banach spaces;Journal of Inverse and Ill-posed Problems;2023-03-31

4. Generalized conditional gradient method for elastic-net regularization;Journal of Computational and Applied Mathematics;2022-03

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