Inertial, Corrected, Primal-Dual Proximal Splitting
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Publication:5110562
DOI10.1137/18M1182851zbMath1484.65138arXiv1804.08736OpenAlexW3098814603MaRDI QIDQ5110562
Publication date: 20 May 2020
Published in: SIAM Journal on Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.08736
Minimax problems in mathematical programming (90C47) Nonlinear programming (90C30) Numerical methods involving duality (49M29) Numerical optimization and variational techniques (65K10) Numerical methods for variational inequalities and related problems (65K15)
Related Items (8)
A unified convergence rate analysis of the accelerated smoothed gap reduction algorithm ⋮ New Primal-Dual Algorithms for a Class of Nonsmooth and Nonlinear Convex-Concave Minimax Problems ⋮ Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier ⋮ Inertial, Corrected, Primal-Dual Proximal Splitting ⋮ Non-stationary First-Order Primal-Dual Algorithms with Faster Convergence Rates ⋮ Block-proximal methods with spatially adapted acceleration ⋮ A relaxed parameter condition for the primal-dual hybrid gradient method for saddle-point problem ⋮ A primal-dual flow for affine constrained convex optimization
Cites Work
- Unnamed Item
- Unnamed Item
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- On the ergodic convergence rates of a first-order primal-dual algorithm
- A primal-dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms
- A unified primal-dual algorithm framework based on Bregman iteration
- Bilevel parameter learning for higher-order total variation regularisation models
- An inertial forward-backward algorithm for monotone inclusions
- Preconditioned Douglas-Rachford algorithms for TV- and TGV-regularized variational imaging problems
- On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators
- An algorithm for total variation minimization and applications
- Acceleration of the PDHGM on partially strongly convex functions
- A first-order primal-dual algorithm for convex problems with applications to imaging
- A splitting algorithm for dual monotone inclusions involving cocoercive operators
- Testing and non-linear preconditioning of the proximal point method
- Block-proximal methods with spatially adapted acceleration
- Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective
- Another Look at the Fast Iterative Shrinkage/Thresholding Algorithm (FISTA)
- Convergence Rates of Inertial Forward-Backward Algorithms
- Linear and Nonlinear Inverse Problems with Practical Applications
- Inertial, Corrected, Primal-Dual Proximal Splitting
- An inertial proximal method for maximal monotone operators via discretization of a nonlinear oscillator with damping
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