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An extended primal-dual algorithm framework for nonconvex problems: application to image reconstruction in spectral CT
Work
Year: 2022
Type: article
Abstract: Using the convexity of each component of the forward operator, we propose an extended primal-dual algorithm framework for solving a kind of nonconvex and probably nonsmooth optimization problems in sp... more
Cites: 24
Cited by: 4
Related to: 10
FWCI: 0.422
Citation percentile (by year/subfield): 45.75
Open Access status: green
Grant IDS Z180002, CA263660