Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions (2017)
- Authors:
- Autor USP: HELOU NETO, ELIAS SALOMÃO - ICMC
- Unidade: ICMC
- DOI: 10.1109/TIP.2017.2699483
- Subjects: OTIMIZAÇÃO; OTIMIZAÇÃO COMBINATÓRIA
- Keywords: Tomographic image reconstruction; iterative shrinkage-thresholding; line search
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ
- Date published: 2017
- Source:
- Título: IEEE Transactions on Image Processing
- ISSN: 1057-7149
- Volume/Número/Paginação/Ano: v. 26, n. 7, p. 3569-3578, Jul. 2017
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ZIBETTI, Marcelo V. W e HELOU, Elias Salomão e PIPA, Daniel R. Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions. IEEE Transactions on Image Processing, v. 26, n. 7, p. 3569-3578, 2017Tradução . . Disponível em: https://doi.org/10.1109/TIP.2017.2699483. Acesso em: 03 mar. 2026. -
APA
Zibetti, M. V. W., Helou, E. S., & Pipa, D. R. (2017). Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions. IEEE Transactions on Image Processing, 26( 7), 3569-3578. doi:10.1109/TIP.2017.2699483 -
NLM
Zibetti MVW, Helou ES, Pipa DR. Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions [Internet]. IEEE Transactions on Image Processing. 2017 ; 26( 7): 3569-3578.[citado 2026 mar. 03 ] Available from: https://doi.org/10.1109/TIP.2017.2699483 -
Vancouver
Zibetti MVW, Helou ES, Pipa DR. Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions [Internet]. IEEE Transactions on Image Processing. 2017 ; 26( 7): 3569-3578.[citado 2026 mar. 03 ] Available from: https://doi.org/10.1109/TIP.2017.2699483 - Escolha do parâmetro de relaxação e implementações paralelas do método de Kaczmarz
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Informações sobre o DOI: 10.1109/TIP.2017.2699483 (Fonte: oaDOI API)
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