Bounded perturbation resilience and superiorization techniques for the projected scaled gradient method
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Publication:5346627
DOI10.1088/1361-6420/33/4/044008zbMath1372.65185OpenAlexW2594185650MaRDI QIDQ5346627
Publication date: 26 May 2017
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/1361-6420/33/4/044008
convergenceHilbert spaceaccelerationconvex minimizationlinear inverse problembounded perturbation resiliencesuperiorizationsplit feasibility problemprojected scaled gradient method
Related Items (8)
Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm ⋮ A simple look at the method for solving split feasibility problems in Hilbert spaces ⋮ Superiorization and bounded perturbation resilience of a gradient projection algorithm solving the convex minimization problem ⋮ Bounded perturbation resilience and superiorization techniques for a modified proximal gradient method ⋮ Bounded perturbation resilience of viscosity proximal algorithm for solving split variational inclusion problems with applications to compressed sensing and image recovery ⋮ Perturbation resilience of proximal gradient algorithm for composite objectives ⋮ New inertial proximal gradient methods for unconstrained convex optimization problems ⋮ A modified hybrid algorithm for solving a composite minimization problem in Banach spaces
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