An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Yizun, He, Yongxin, Schmidtlein, C. Ross, Han, Deren |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Two-step Krasnosel'skii-Mann Algorithm with Adaptive Momentum and Its Applications to Image Denoising and Matrix Completion
by: He, Yongxin, et al.
Published: (2025)
by: He, Yongxin, et al.
Published: (2025)
A Krasnoselskii-Mann Proximity Algorithm for Markowitz Portfolios with Adaptive Expected Return Level
by: Lin, Yizun, et al.
Published: (2024)
by: Lin, Yizun, et al.
Published: (2024)
A preconditioned difference of convex functions algorithm with extrapolation and line search
by: Zhang, Ran, et al.
Published: (2025)
by: Zhang, Ran, et al.
Published: (2025)
An adaptive framework for first-order gradient methods
by: Hu, Xiaozhe, et al.
Published: (2026)
by: Hu, Xiaozhe, et al.
Published: (2026)
The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter
by: Bao, Chenglong, et al.
Published: (2023)
by: Bao, Chenglong, et al.
Published: (2023)
Bregman proximal gradient method for linear optimization under entropic constraints
by: Briceño-Arias, Luis M., et al.
Published: (2025)
by: Briceño-Arias, Luis M., et al.
Published: (2025)
Variable Projected Augmented Lagrangian Methods for Generalized Lasso Problems
by: Aleotti, Stefano, et al.
Published: (2025)
by: Aleotti, Stefano, et al.
Published: (2025)
General Optimal Step-size for ADMM-type Algorithms: Domain Parametrization and Optimal Rates
by: Ran, Yifan
Published: (2023)
by: Ran, Yifan
Published: (2023)
Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)
by: Deng, Kangkang, et al.
Published: (2025)
Performance Estimation for Smooth and Strongly Convex Sets
by: Luner, Alan, et al.
Published: (2024)
by: Luner, Alan, et al.
Published: (2024)
On Averaging and Extrapolation for Gradient Descent
by: Luner, Alan, et al.
Published: (2024)
by: Luner, Alan, et al.
Published: (2024)
Discovering new phases via computing second-order stationary states of Landau-Brazovskii model
by: Bao, Chenglong, et al.
Published: (2026)
by: Bao, Chenglong, et al.
Published: (2026)
A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution
by: László, Szilárd Csaba
Published: (2024)
by: László, Szilárd Csaba
Published: (2024)
Globally Optimal Solutions to a Class of Fractional Optimization Problems Based on Proximal Gradient Algorithm
by: Lin, Yizun, et al.
Published: (2023)
by: Lin, Yizun, et al.
Published: (2023)
Relaxed Weak Accelerated Proximal Gradient Method: a Unified Framework for Nesterov's Accelerations
by: Li, Hongda, et al.
Published: (2025)
by: Li, Hongda, et al.
Published: (2025)
On the convergence of proximal gradient methods for convex simple bilevel optimization
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Swarm-based gradient descent meets simulated annealing
by: Ding, Zhiyan, et al.
Published: (2024)
by: Ding, Zhiyan, et al.
Published: (2024)
Parallel subspace correction methods for semicoercive and nearly semicoercive convex optimization with applications to nonlinear PDEs
by: Lee, Young-Ju, et al.
Published: (2024)
by: Lee, Young-Ju, et al.
Published: (2024)
Nonlinear conjugate gradient for smooth convex functions
by: Karimi, Sahar, et al.
Published: (2021)
by: Karimi, Sahar, et al.
Published: (2021)
A novel interpretation of Nesterov's acceleration via variable step-size linear multistep methods
by: Nozawa, Ryota, et al.
Published: (2024)
by: Nozawa, Ryota, et al.
Published: (2024)
Nonlinear three-operator splitting algorithms with momentum for monotone inclusions
by: Qin, Liqian, et al.
Published: (2025)
by: Qin, Liqian, et al.
Published: (2025)
On the convergence of an inertial proximal algorithm with a Tikhonov regularization term
by: László, Szilárd Csaba
Published: (2023)
by: László, Szilárd Csaba
Published: (2023)
A primal-dual algorithm for image reconstruction with input-convex neural network regularizers
by: Ehrhardt, Matthias J., et al.
Published: (2024)
by: Ehrhardt, Matthias J., et al.
Published: (2024)
Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
by: Bao, Chenglong, et al.
Published: (2024)
by: Bao, Chenglong, et al.
Published: (2024)
Relaxed and inertial nonlinear Forward-Backward algorithm
by: Maulén, Juan José, et al.
Published: (2025)
by: Maulén, Juan José, et al.
Published: (2025)
Efficient parameter-free restarted accelerated gradient methods for convex and strongly convex optimization
by: Sujanani, Arnesh, et al.
Published: (2024)
by: Sujanani, Arnesh, et al.
Published: (2024)
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Efficient Admissible Set Projection in Optimization-based Invariant-Domain-Preserving Limiters for Ideal MHD
by: Liu, Chen, et al.
Published: (2026)
by: Liu, Chen, et al.
Published: (2026)
Efficient optimization-based invariant-domain-preserving limiters in solving gas dynamics equations
by: Liu, Chen, et al.
Published: (2025)
by: Liu, Chen, et al.
Published: (2025)
Strong Convergence of Relaxed Inertial Inexact Progressive Hedging Algorithm for Multi-stage Stochastic Variational Inequality Problems
by: Chen, Jiaxin, et al.
Published: (2024)
by: Chen, Jiaxin, et al.
Published: (2024)
Monomial barrier functions for the box-constrained convex optimization problems
by: Fayed, Hatem
Published: (2024)
by: Fayed, Hatem
Published: (2024)
Optimization on product manifolds under a preconditioned metric
by: Gao, Bin, et al.
Published: (2023)
by: Gao, Bin, et al.
Published: (2023)
MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
by: Ang, Andersen, et al.
Published: (2023)
by: Ang, Andersen, et al.
Published: (2023)
Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
by: Hamiss, Kabenge, et al.
Published: (2026)
by: Hamiss, Kabenge, et al.
Published: (2026)
Convergence of iterates and improved rates for accelerated augmented Lagrangian methods for linearly constrained convex optimization
by: He, Xin, et al.
Published: (2026)
by: He, Xin, et al.
Published: (2026)
Nonlinear tomographic reconstruction via nonsmooth optimization
by: Charisopoulos, Vasileios, et al.
Published: (2024)
by: Charisopoulos, Vasileios, et al.
Published: (2024)
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization
by: Lin, Yizun, et al.
Published: (2024)
by: Lin, Yizun, et al.
Published: (2024)
Adaptive proximal gradient methods are universal without approximation
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
Essential Convergence Rates of Continuous-Time Models for Optimization Methods
by: Ushiyama, Kansei, et al.
Published: (2025)
by: Ushiyama, Kansei, et al.
Published: (2025)
Similar Items
-
A Two-step Krasnosel'skii-Mann Algorithm with Adaptive Momentum and Its Applications to Image Denoising and Matrix Completion
by: He, Yongxin, et al.
Published: (2025) -
A Krasnoselskii-Mann Proximity Algorithm for Markowitz Portfolios with Adaptive Expected Return Level
by: Lin, Yizun, et al.
Published: (2024) -
A preconditioned difference of convex functions algorithm with extrapolation and line search
by: Zhang, Ran, et al.
Published: (2025) -
An adaptive framework for first-order gradient methods
by: Hu, Xiaozhe, et al.
Published: (2026) -
The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter
by: Bao, Chenglong, et al.
Published: (2023)