String-averaging incremental subgradients for constrained convex optimization with applications to reconstruction of tomographic images (2016)
- Authors:
- USP affiliated authors: HELOU NETO, ELIAS SALOMÃO - ICMC ; COSTA, EDUARDO FONTOURA - ICMC
- Unidade: ICMC
- DOI: 10.1088/0266-5611/32/11/115014
- Subjects: OTIMIZAÇÃO; OTIMIZAÇÃO COMBINATÓRIA; PROCESSOS ESTOCÁSTICOS
- Keywords: incremental algorithms; subgradient methods; projection methods; string-averaging algorithms
- Language: Inglês
- Imprenta:
- Publisher place: Bristol, United Kingdom
- Date published: 2016
- Source:
- Título: Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data
- ISSN: 0266-5611
- Volume/Número/Paginação/Ano: v. 32, n. 11, p. 115014-1-115014-29, Out. 2016
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
OLIVEIRA, Rafael Massambone de e HELOU, Elias Salomão e COSTA, Eduardo Fontoura. String-averaging incremental subgradients for constrained convex optimization with applications to reconstruction of tomographic images. Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data, v. 32, n. 11, p. 115014-1-115014-29, 2016Tradução . . Disponível em: https://doi.org/10.1088/0266-5611/32/11/115014. Acesso em: 06 out. 2024. -
APA
Oliveira, R. M. de, Helou, E. S., & Costa, E. F. (2016). String-averaging incremental subgradients for constrained convex optimization with applications to reconstruction of tomographic images. Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data, 32( 11), 115014-1-115014-29. doi:10.1088/0266-5611/32/11/115014 -
NLM
Oliveira RM de, Helou ES, Costa EF. String-averaging incremental subgradients for constrained convex optimization with applications to reconstruction of tomographic images [Internet]. Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data. 2016 ; 32( 11): 115014-1-115014-29.[citado 2024 out. 06 ] Available from: https://doi.org/10.1088/0266-5611/32/11/115014 -
Vancouver
Oliveira RM de, Helou ES, Costa EF. String-averaging incremental subgradients for constrained convex optimization with applications to reconstruction of tomographic images [Internet]. Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data. 2016 ; 32( 11): 115014-1-115014-29.[citado 2024 out. 06 ] Available from: https://doi.org/10.1088/0266-5611/32/11/115014 - String-averaging incremental stochastic subgradient algorithms
- A Markovian incremental stochastic subgradient algorithm
- A backprojection slice theorem for tomographic reconstruction
- Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction
- A new parameter choice method for inverse problems with poisson noise
- On perturbed steepest descent methods with inexact line search for bilevel convex optimization
- On the differentiability check in gradient sampling methods
- Generalized backprojection operator: fast calculation
- Monotone FISTA with variable acceleration for compressed sensing magnetic resonance imaging
- Superiorization of preconditioned conjugate gradient algorithms for tomographic image reconstruction
Informações sobre o DOI: 10.1088/0266-5611/32/11/115014 (Fonte: oaDOI API)
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