A non-convex piecewise quadratic approximation of ℓ0 regularization: theory and accelerated algorithm

Non-convex regularization has been recognized as an especially important approach in recent studies to promote sparsity. In this paper, we study the non-convex piecewise quadratic approximation (PQA) regularization for sparse solutions of the linear inverse problem. It is shown that exact recovery o...

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Vydané v:	Journal of global optimization Ročník 86; číslo 2; s. 323 - 353
Hlavní autori:	Li, Qian, Zhang, Wei, Bai, Yanqin, Wang, Guoqiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2023 Springer Nature B.V
Predmet:	Algorithms Approximation Compressibility Computer Science Convergence Inverse problems Iterative methods Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Real Functions Recovery Regularization Sparsity Exact recovery Sparsity optimization 65K05 Non-convex approximation Accelerated gradient algorithm 90C06 Iterative thresholding algorithm 90C26
ISSN:	0925-5001, 1573-2916
On-line prístup:	Získať plný text
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