An extended primal-dual algorithm framework for nonconvex problems: application to image reconstruction in spectral CT
Sign Up to like & getrecommendations! Published in 2022 at "Inverse Problems"
DOI: 10.1088/1361-6420/ac79c8
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 spectral computed tomography (CT) image reconstruction.… read more here.
Keywords: algorithm framework; image reconstruction; framework; extended primal ... See more keywords
A self-correcting variable-metric algorithm framework for nonsmooth optimization
Sign Up to like & getrecommendations! Published in 2019 at "IMA Journal of Numerical Analysis"
DOI: 10.1093/imanum/drz008
Abstract: An algorithm framework is proposed for minimizing nonsmooth functions. The framework is variable metric in that, in each iteration, a step is computed using a symmetric positive-definite matrix whose value is updated as in a… read more here.
Keywords: self correcting; variable metric; algorithm framework;