Linear convergence analysis of the use of gradient projection methods on total variation problems
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Publication:1946623
DOI10.1007/s10589-011-9412-4zbMath1290.90070OpenAlexW2007192621MaRDI QIDQ1946623
Publication date: 15 April 2013
Published in: Computational Optimization and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10589-011-9412-4
total variationlinear convergencenon-degeneracy conditionsgradient projection methodsprojected gradients
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Cites Work
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- Nonlinear total variation based noise removal algorithms
- Some first-order algorithms for total variation based image restoration
- On nonmonotone Chambolle gradient projection algorithms for total variation image restoration
- Introductory lectures on convex optimization. A basic course.
- An algorithm for total variation minimization and applications
- On the convergence of projected gradient processes to singular critical points
- A multiphase level set framework for image segmentation using the Mumford and Shah model
- R-linear convergence of the Barzilai and Borwein gradient method
- Identifiable Surfaces in Constrained Optimization
- The Split Bregman Method for L1-Regularized Problems
- Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
- Projected gradient methods for linearly constrained problems
- Two-Point Step Size Gradient Methods
- Projection methods for variational inequalities with application to the traffic assignment problem
- On the Linear Convergence of Descent Methods for Convex Essentially Smooth Minimization
- On the Goldstein-Levitin-Polyak gradient projection method
- Gradient Method with Retards and Generalizations
- On the Convergence of the Lagged Diffusivity Fixed Point Method in Total Variation Image Restoration
- A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
- Convergence of an Iterative Method for Total Variation Denoising
- Active contours without edges
- Fast, robust total variation-based reconstruction of noisy, blurred images
- Nonmonotone Spectral Projected Gradient Methods on Convex Sets
- Iterative Methods for Total Variation Denoising
- The cyclic Barzilai-–Borwein method for unconstrained optimization
- Convex programming in Hilbert space
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