Výsledky vyhledávání - accelerated preconditioned proximal gradient algorithm

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction

Autoři: Yizun Lin Yongxin He C Ross Schmidtlein a další

Zdroj: Inverse Problems. 41:045002

Témata: positron emission tomography, total variation, Optimization and Control (math.OC), Numerical methods for mathematical programming, optimization and variational techniques, Communication, information, 65J22, 65K05, 90C25, FOS: Mathematics, Mathematical programming, accelerated preconditioned proximal gradient algorithm, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), image reconstruction, Mathematics - Optimization and Control

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2409.13344
https://zbmath.org/8034684
https://doi.org/10.1088/1361-6420/adbd6a

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction

Autoři: Lin, Yizun He, Yongxin Schmidtlein, C. Ross a další

Témata: Mathematics - Optimization and Control, Mathematics - Numerical Analysis, 65J22, 65K05, 90C25, text

URL: http://arxiv.org/abs/2409.13344

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction.

Autoři: Lin, Yizun He, Yongxin Ross Schmidtlein, C a další

Zdroj: Inverse Problems; Apr2025, Vol. 41 Issue 4, p1-26, 26p

Témata: POSITRON emission tomography, IMAGE reconstruction, ALGORITHMS, IMAGE reconstruction algorithms

An ordered-subsets proximal preconditioned gradient algorithm for total variation regularized PET image reconstruction

Autoři: Mohammad Reza Ay Fotis A. Kotasidis Arman Rahmim a další

Zdroj: 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). :3375-3382

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/6551769/
https://jhu.pure.elsevier.com/en/publications/an-ordered-subsets-proximal-preconditioned-gradient-algorithm-for-6
http://ieeexplore.ieee.org/document/6551769/

An ordered‐subsets proximal preconditioned gradient algorithm for edge‐preserving PET image reconstruction

Autoři: Mehranian, Abolfazl Rahmim, Arman Ay, Mohammad Reza a další

Zdroj: Medical Physics, Vol. 40, No 5 (2013) P. 052503
Medical physics
Med Phys

Témata: INFORMATION, Image Processing, Computer-Assisted/methods, EMISSION COMPUTED-TOMOGRAPHY, 02 engineering and technology, BLURRED ANATOMICAL LABELS, 1ST-ORDER METHOD, ddc:616.0757, 03 medical and health sciences, 0302 clinical medicine, Brain/radionuclide imaging, preconditioning, proximal gradient, Fluorodeoxyglucose F18, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Humans, X-RAY CT, 616.0757, BAYESIAN RECONSTRUCTION, Brain, Positron-Emission Tomography/methods, image reconstruction, DIFFUSION, Fluorodeoxyglucose F18/diagnostic use, PRIORS, LEAST-SQUARES, Positron-Emission Tomography, REGULARIZATION, Algorithms, total variation regularization

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/23635293
https://archive-ouverte.unige.ch/unige:40054
https://www.narcis.nl/publication/RecordID/oai%3Apure.rug.nl%3Apublications%2F83fbfdfb-6df9-4cf0-8194-e59686db17f8
https://aapm.onlinelibrary.wiley.com/doi/full/10.1118/1.4801898
https://www.rug.nl/research/portal/en/publications/an-orderedsubsets-proximal-preconditioned-gradient-algorithm-for-edgepreserving-pet-image-reconstruction(83fbfdfb-6df9-4cf0-8194-e59686db17f8).html
https://europepmc.org/article/MED/23635293
https://ui.adsabs.harvard.edu/abs/2013MedPh..40e2503M/abstract
https://archive-ouverte.unige.ch/unige:40054
https://archive-ouverte.unige.ch/unige:40054
https://doi.org/10.1118/1.4801898

An accelerated preconditioned primal-dual gradient algorithm for structured nonconvex optimization problems.

Autoři: Long, Xian-Jun Nie, Jia-Lin Gou, Zhun a další

Zdroj: Communications in Nonlinear Science & Numerical Simulation. Feb2026, Vol. 153, pN.PAG-N.PAG. 1p.

HPPP: Halpern-Type Preconditioned Proximal Point Algorithms and Applications to Image Restoration.

Autoři: Zhang, Shuchang Zhang, Hui Wang, Hongxia

Zdroj: SIAM Journal on Imaging Sciences; 2025, Vol. 18 Issue 2, p1493-1521, 29p

Unmatched Preconditioning of the Proximal Gradient Algorithm.

Autoři: Savanier, Marion Chouzenoux, Emilie Pesquet, Jean-Christophe a další

Zdroj: IEEE Signal Processing Letters; May2022, Vol. 29, p1122-1126, 5p

Témata: IMAGE reconstruction, TOMOGRAPHY, ALGORITHMS, ELECTRONIC packaging, LINEAR programming

A splitting preconditioned primal-dual algorithm with interpolation and extrapolation for bilinear saddle point problem.

Autoři: Chang, Xiaokai Xu, Long Cao, Jianxiong

Zdroj: Numerical Algorithms; Nov2025, Vol. 100 Issue 3, p937-962, 26p

Témata: INTERPOLATION, EXTRAPOLATION, MATHEMATICAL models, MATRIX inversion, ALGORITHMS, MATHEMATICAL optimization, OPTIMIZATION algorithms

A Preconditioned Version of a Nested Primal-Dual Algorithm for Image Deblurring.

Autoři: Aleotti, Stefano Donatelli, Marco Krause, Rolf a další

Zdroj: Journal of Scientific Computing; Jun2025, Vol. 103 Issue 3, p1-28, 28p

Practical Acceleration of the Condat-Vu Algorithm.

Autoři: Driggs, Derek Ehrhardt, Matthias J. Schonlieb, Carola-Bibiane a další

Zdroj: SIAM Journal on Imaging Sciences; 2024, Vol. 17 Issue 4, p2076-2109, 34p

Témata: MACHINE learning, SPECIAL functions, ALGORITHMS

The degenerate variable metric proximal point algorithm and adaptive stepsizes for primal–dual Douglas–Rachford.

Autoři: Lorenz, Dirk A. Marquardt, Jannis Naldi, Emanuele

Zdroj: Optimization; Apr2025, Vol. 74 Issue 6, p1355-1381, 27p

Témata: ALGORITHMS, HEURISTIC

A nested primal–dual iterated Tikhonov method for regularized convex optimization.

Autoři: Aleotti, Stefano Bonettini, Silvia Donatelli, Marco a další

Zdroj: Computational Optimization & Applications; Jun2025, Vol. 91 Issue 2, p357-395, 39p

Témata: COMPUTATIONAL mathematics, EXTRAPOLATION, ALGORITHMS

A new proximal heavy ball inexact line-search algorithm.

Autoři: Bonettini, S. Prato, M. Rebegoldi, S.

Zdroj: Computational Optimization & Applications; Jun2024, Vol. 88 Issue 2, p525-565, 41p

Témata: ALGORITHMS, TABU search algorithm, NONCONVEX programming

Stochastic variable metric proximal gradient with variance reduction for non-convex composite optimization.

Autoři: Fort, Gersende Moulines, Eric

Zdroj: Statistics & Computing; Jun2023, Vol. 33 Issue 3, p1-30, 30p

An Inexact Accelerated Proximal Gradient Method and a Dual Newton-CG Method for the Maximal Entropy Problem.

Autoři: Wang, Chengjing Xu, Aimin

Zdroj: Journal of Optimization Theory & Applications; May2013, Vol. 157 Issue 2, p436-450, 15p

Témata: DIFFERENTIAL entropy, NUMERICAL analysis, ALGORITHMS, NEWTON-Raphson method, CONJUGATE gradient methods

Gradient-Based Optimization Algorithm for Solving Sylvester Matrix Equation.

Autoři: Zhang, Juan Luo, Xiao

Zdroj: Mathematics (2227-7390); Apr2022, Vol. 10 Issue 7, p1040-1040, 14p

Témata: SYLVESTER matrix equations, MATHEMATICAL optimization, KRONECKER products, PROBLEM solving

A Mini-Batch Proximal Stochastic Recursive Gradient Algorithm with Diagonal Barzilai–Borwein Stepsize.

Autoři: Yu, Teng-Teng Liu, Xin-Wei Dai, Yu-Hong a další

Zdroj: Journal of the Operations Research Society of China; Jun2023, Vol. 11 Issue 2, p277-307, 31p

An Inexact Proximal DC Algorithm with Sieving Strategy for Rank Constrained Least Squares Semidefinite Programming.

Autoři: Ding, Mingcai Song, Xiaoliang Yu, Bo

Zdroj: Journal of Scientific Computing; Jun2022, Vol. 91 Issue 3, p1-23, 23p

A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai–Borwein Stepsizes.

Autoři: Yu, Tengteng Liu, Xin-Wei Dai, Yu-Hong a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Oct2021, Vol. 32 Issue 10, p4627-4638, 12p

Témata: CONVEX functions, MACHINE learning, BATCH processing