A Telescopic Bregmanian Proximal Gradient Method Without the Global Lipschitz Continuity Assumption-Reference-Cited by-同舟云学术

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A Telescopic Bregmanian Proximal Gradient Method Without the Global Lipschitz Continuity Assumption

Published:2019-03-25 Issue:3 Volume:182 Page:851-884
ISSN:0022-3239
Container-title:Journal of Optimization Theory and Applications
language:en
Short-container-title:J Optim Theory Appl

Author:

Reem Daniel^ORCID,Reich Simeon,De Pierro Alvaro

Funder

FAPESP

CNPq

Israel Science Foundation

Fund for the Promotion of Research at the Technion

the Technion General Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

http://link.springer.com/content/pdf/10.1007/s10957-019-01509-8.pdf

Reference50 articles.

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2. Beck, A., Teboulle, M.: A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imag. Sci. 2, 183–202 (2009)

3. Bertero, M., Boccacci, P., Desiderà, G., Vicidomini, G.: Image deblurring with Poisson data: from cells to galaxies. Inverse Prob. 25, 123006 (2009)

4. Combettes, P.L., Wajs, V.R.: Signal recovery by proximal forward-backward splitting. Multiscale Model. Simul. 4, 1168–1200 (2005)

5. De Mol, C., De Vito, E., Rosasco, L.: Elastic-net regularization in learning theory. J. Complex. 25, 201–230 (2009)

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