String-averaging incremental subgradients for constrained convex optimization with applications to reconstruction of tomographic images

DOI10.1088/0266-5611/32/11/115014zbMath1355.65080arXiv1610.05823OpenAlexW2534101966MaRDI QIDQ2835449

Rafael Massambone de Oliveira, Eduardo Fontoura Costa, Elias Salomão Helou

Publication date: 2 December 2016

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1610.05823

zbMATH Keywords

convergenceconvex optimizationnumerical experimentprojection methodssubgradient methodsincremental algorithmstomographic image reconstructionstring-averaging algorithms

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Convex programming (90C25)

Related Items (2)

String-averaging incremental stochastic subgradient algorithms ⋮ Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications

Uses Software

• UNLocBoX
• SPIRAL

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