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Volumn 26, Issue 11, 2010, Pages

Generalized Bregman distances and convergence rates for non-convex regularization methods

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACT CONVEXITY; BREGMAN DISTANCES; CONVERGENCE RATES; LINEAR OPERATOR EQUATIONS; REGULARIZATION METHODS; TIKHONOV REGULARIZATION;

EID: 78049421232     PISSN: 02665611     EISSN: 13616420     Source Type: Journal    
DOI: 10.1088/0266-5611/26/11/115014     Document Type: Article
Times cited : (117)

References (21)
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    • Burger, M.1    Osher, S.2
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    • Candès E J, Romberg J and Tao T 2006 Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information IEEE Trans. Inf. Theory 52 489-509
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  • 7
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    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    • Daubechies I, Defrise M and De Mol C 2004 An iterative thresholding algorithm for linear inverse problems with a sparsity constraint Commun. Pure Appl. Math. 57 1413-57
    • (2004) Commun. Pure Appl. Math. , vol.57 , pp. 1413-1457
    • Daubechies, I.1    Defrise, M.2    De Mol, C.3
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    • Grasmair M 2010 Non-convex sparse regularisation J. Math. Anal. Appl. 365 19-28
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    • A convergence rates result for Tikhonov regularization in Banach spaces with non-smooth operators
    • Hofmann B, Kaltenbacher B, Pöschl C and Scherzer O 2007 A convergence rates result for Tikhonov regularization in Banach spaces with non-smooth operators Inverse Problems 23 987-1010
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    • Hofmann, B.1    Kaltenbacher, B.2    Pöschl, C.3    Scherzer, O.4
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    • Lorenz D 2008 Convergence rates and source conditions for Tikhonov regularization with sparsity constraints J. Inverse Ill-Posed Problems 16 463-78
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.