Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction (2020)
- Authors:
- Autor USP: HELOU NETO, ELIAS SALOMÃO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s11220-020-00309-z
- Subjects: FUNÇÕES CONVEXAS; TOMOGRAFIA; MÉTODOS NUMÉRICOS
- Keywords: Convex optimization; Proximal gradient methods; Iterative algorithms
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Sensing and Imaging
- ISSN: 1557-2064
- Volume/Número/Paginação/Ano: v. 21, p. 1-31, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
HELOU, Elias Salomão e ZIBETTI, Marcelo Victor Wüst e HERMAN, Gabor T. Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction. Sensing and Imaging, v. 21, p. 1-31, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11220-020-00309-z. Acesso em: 20 jan. 2026. -
APA
Helou, E. S., Zibetti, M. V. W., & Herman, G. T. (2020). Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction. Sensing and Imaging, 21, 1-31. doi:10.1007/s11220-020-00309-z -
NLM
Helou ES, Zibetti MVW, Herman GT. Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction [Internet]. Sensing and Imaging. 2020 ; 21 1-31.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/s11220-020-00309-z -
Vancouver
Helou ES, Zibetti MVW, Herman GT. Fast proximal gradient methods for nonsmooth convex optimization for tomographic image reconstruction [Internet]. Sensing and Imaging. 2020 ; 21 1-31.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/s11220-020-00309-z - Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction
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- A backprojection slice theorem for tomographic reconstruction
- Fast multicomponent 3D-T1ρ relaxometry
- Fast projection/backprojection and incremental methods applied to synchrotron light tomographic reconstruction
- A new sequential optimality condition for constrained nonsmooth optimization
- Suavização parcial e algoritmos acelerados de primeira ordem: aplicação a problemas inversos com ruído esparso
- A new parameter choice rule for optimization models for inverse problems with poisson noise
- A sequential optimality condition for mathematical programs with equilibrium constraints based on a nonsmooth formulation
- Derivative-free superiorization: principle and algorithm
Informações sobre o DOI: 10.1007/s11220-020-00309-z (Fonte: oaDOI API)
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