Výsledky vyhledávání - "proximal gradient method"

A new proximal gradient method for solving mixed variational inequality problems with a novel explicit stepsize and applications

Autoři: Pham Thi Hoai

Zdroj: Mathematics and Computers in Simulation. 229:594-610

Témata: Fixed-point theorems, image deblurring problem, mixed variational inequality, Variational inequalities, sparse logistic regression, Set-valued operators, proximal gradient method, composite optimization model

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/8031556
https://doi.org/10.1016/j.matcom.2024.10.008

Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient

Autoři: Latafat, Puya Themelis, Andreas Stella, Lorenzo a další

Zdroj: Mathematical Programming

Témata: FOS: Computer and information sciences, 65K05, 90C06, 90C25, 90C30, 90C47, Technology, STEP-SIZE, Operations Research, Computer Science - Machine Learning, Mathematics, Applied, 0211 other engineering and technologies, Convex minimization, MONOTONE INCLUSIONS, 02 engineering and technology, Locally Lipschitz gradient, SPLITTING ALGORITHM, Machine Learning (cs.LG), Primal-dual algorithms, 0102 Applied Mathematics, FOS: Mathematics, 4901 Applied mathematics, PRIMAL-DUAL ALGORITHM, Mathematics - Optimization and Control, 0802 Computation Theory and Mathematics, 4613 Theory of computation, Science & Technology, COMPOSITE, Operations Research & Management Science, 0103 Numerical and Computational Mathematics, SUM, Linesearch-free adaptive stepsizes, Computer Science, Software Engineering, Proximal gradient method, BARZILAI, Optimization and Control (math.OC), Physical Sciences, Computer Science, 4903 Numerical and computational mathematics, Mathematics, STADIUS-23-76

Přístupová URL adresa: http://arxiv.org/abs/2301.04431

An iterative scheme for solving minimization and fixed point problems with medical image restoration

Autoři: Khuanchanok Chaichana Woratham Khangtragool Raweerote Suparatulatorn

Zdroj: The Journal of Analysis. 33:537-552

Témata: Convex programming, Fixed-point theorems, Numerical mathematical programming methods, process innovation, proximal gradient method, image processing

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/8035909
https://doi.org/10.1007/s41478-024-00846-w

Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants

Autoři: Shixiang Chen Shiqian Ma Anthony Man-Cho So a další

Zdroj: SIAM Review. 66:319-352

Témata: Semismooth Newton method, Stiefel manifold, Stochastic algorithms, Manifold optimization, Iteration complexity, Zeroth-order algorithms, Nonsmooth, Proximal gradient method

On the convergence of Newton-type proximal gradient method for multiobjective optimization problems

Autoři: J. Chen X. X. Jiang L. P. Tang a další

Témata: Medicine, Developmental Biology, Science Policy, Space Science, Mathematical Sciences not elsewhere classified, Multiobjective optimization, Newton-type method, proximal gradient method, convergence, 90C29, 90C30

Dostupnost: https://doi.org/10.6084/m9.figshare.29197492.v1
https://figshare.com/articles/online_resource/On_the_convergence_of_Newton-type_proximal_gradient_method_for_multiobjective_optimization_problems/29197492

A proximal gradient method with double inertial steps for minimization problems involving demicontractive mappings

Autoři: Thanasak Mouktonglang Wipawinee Chaiwino Raweerote Suparatulatorn

Zdroj: Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-12 (2024)

Témata: Proximal gradient method, Mann iteration, Signal recovery, Process innovation, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1029-242X

Přístupová URL adresa: https://doaj.org/article/f6be42cca40b4b67a779bc7041e073a0

Enhancing radar tracking accuracy using combined Hilbert transform and proximal gradient methods

Autoři: Ayesha Jabbar Muhammad Kashif Jabbar Asif Jabbar a další

Zdroj: Results in Engineering, Vol 24, Iss , Pp 103479- (2024)

Témata: Radar tracking, Proximal gradient method, Hilbert transform, Trajectory estimation, Convex optimization, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123024017316; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/0f9a309eeb1e4d62b1e4e89015e7f640

Proximal gradient descent on the smoothed duality gap to solve saddle point problems

Autoři: Fercoq, Olivier Signal, Statistique et Apprentissage (S2A) Laboratoire Traitement et Communication de l'Information (LTCI) a další

Přispěvatelé: Fercoq, Olivier Signal, Statistique et Apprentissage (S2A) Laboratoire Traitement et Communication de l'Information (LTCI) a další

Zdroj: https://hal.science/hal-05346630 ; 2025.

Témata: Saddle point problems, Proximal gradient method, Smoothed duality gap, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Dostupnost: https://hal.science/hal-05346630
https://hal.science/hal-05346630v1/document
https://hal.science/hal-05346630v1/file/minimize_smoothed_gap.pdf

Optimal control problems with $$L^0(\Omega )$$ constraints: maximum principle and proximal gradient method

Autoři: Daniel Wachsmuth

Zdroj: Computational Optimization and Applications. 87:811-833

Témata: ddc:510, Optimization and Control (math.OC), Pontryagin maximum principle, Sparse optimal control, FOS: Mathematics, 0211 other engineering and technologies, L0 constraints, 02 engineering and technology, Proximal gradient method, Mathematics - Optimization and Control

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2201.05360
https://hdl.handle.net/10419/311864
https://hdl.handle.net/10419/315346

Proximal methods for sparse optimal scoring and discriminant analysis

Autoři: Summer Atkins Gudmundur Einarsson Line Clemmensen a další

Zdroj: Atkins, S, Einarsson, G, Clemmensen, L K H & Ames, B 2023, ' Proximal methods for sparse optimal scoring and discriminant analysis ', Advances in Data Analysis and Classification, vol. 17, pp. 983–1036 . https://doi.org/10.1007/s11634-022-00530-6

Témata: Alternating direction method of multipliers, FOS: Computer and information sciences, 0211 other engineering and technologies, Optimal scoring, 02 engineering and technology, 0101 mathematics, Proximal gradient method, Statistics - Computation, 01 natural sciences, Sparse discriminant analysis, Computation (stat.CO)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/1705.07194
https://orbit.dtu.dk/en/publications/a33c3254-cc6d-411c-a443-ea273c7c2cae

Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates

Autoři: Yurtsever, Alp Gu, Alex Sra, Suvrit

Zdroj: Advances in Neural Information Processing Systems 34 (NeurIPS 2021). :19743-19756

Témata: Three operator splitting, Davis-Yin splitting, adaptive optimization, nonsmooth optimization, subgradient method, stochastic optimization, proximal methods, proximal gradient method

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-190486
https://proceedings.neurips.cc/

On the convergence of adaptive first order methods : proximal gradient and alternating minimization algorithms

Autoři: Latafat, P. Themelis, A. Patrinos, Panagiotis a další

Přispěvatelé: Latafat, P. Themelis, A. Patrinos, Panagiotis a další

Zdroj: ISSN:1533-7928 ; Machine Learning Research, vol. 242, (197-208) ; 6th Annual Learning for Dynamics and Control Conference (L4DC 2024), Oxford, UK, 15-17 July 2024.

Témata: Science & Technology, Technology, Automation & Control Systems, Computer Science, Artificial Intelligence, Interdisciplinary Applications, Convex minimization, proximal gradient method, alternating minimization algorithm, locally Lipschitz gradient, linesearch-free adaptive stepsizes, SPLITTING ALGORITHM, STADIUS-24-185, 08 Information and Computing Sciences, 17 Psychology and Cognitive Sciences, Artificial Intelligence & Image Processing, 4611 Machine learning, 4905 Statistics

Popis souboru: application/pdf

Relation: https://lirias.kuleuven.be/handle/20.500.12942/756639

Dostupnost: https://lirias.kuleuven.be/handle/20.500.12942/756639
https://hdl.handle.net/20.500.12942/756639
https://lirias.kuleuven.be/retrieve/f91085df-e5c7-4920-a530-8f550e63f3b0

The Proximal Gradient Method for Composite Optimization Problems on Riemannian Manifolds

Autoři: Xiaobo Li

Zdroj: Mathematics, Vol 12, Iss 17, p 2638 (2024)

Témata: composite optimization problems, the proximal gradient method, convergence result, Riemannian manifolds, Mathematics, QA1-939

Relation: https://www.mdpi.com/2227-7390/12/17/2638; https://doaj.org/toc/2227-7390; https://doaj.org/article/1b59f2289a564920bfb68cdbc779d372

Dostupnost: https://doi.org/10.3390/math12172638
https://doaj.org/article/1b59f2289a564920bfb68cdbc779d372

A proximal gradient method for control problems with non-smooth and non-convex control cost

Autoři: Natemeyer, Carolin Wachsmuth, Daniel

Zdroj: Computational Optimization and Applications. 80:639-677

Témata: ddc:510, 0209 industrial biotechnology, Optimization and Control (math.OC), FOS: Mathematics, 0211 other engineering and technologies, Sparse control problems, 02 engineering and technology, Proximal gradient method, Mathematics - Optimization and Control, Non-smooth and non-convex optimization

Popis souboru: application/pdf

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s10589-021-00308-0.pdf
http://arxiv.org/abs/2007.11426
https://link.springer.com/article/10.1007/s10589-021-00308-0
https://paperity.org/p/271351073/a-proximal-gradient-method-for-control-problems-with-non-smooth-and-non-convex-control
https://doi.org/10.1007/s10589-021-00308-0
https://link.springer.com/content/pdf/10.1007/s10589-021-00308-0.pdf
https://dblp.uni-trier.de/db/journals/coap/coap80.html#NatemeyerW21
https://hdl.handle.net/10419/286995
https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/26906
https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-269069
https://opus.bibliothek.uni-wuerzburg.de/files/26906/Natemeyer-Wachsmuth_Computational.pdf
https://doi.org/10.1007/s10589-021-00308-0

An Accelerated Tensorial Double Proximal Gradient Method for Total Variation Regularization Problem

Autoři: Benchettou, Oumaima Bentbib, Abdeslem Hafid Bouhamidi, Abderrahman a další

Přispěvatelé: Benchettou, Oumaima Bentbib, Abdeslem Hafid Bouhamidi, Abderrahman a další

Zdroj: ISSN: 0022-3239.

Témata: Tensorial total variation regularization proximal gradient method polynomial extrapolation t-product video completion and inpainting, Tensorial total variation regularization, proximal gradient method, polynomial extrapolation, t-product, video completion and inpainting, [MATH]Mathematics [math]

Dostupnost: https://hal.science/hal-04411759
https://hal.science/hal-04411759v1/document
https://hal.science/hal-04411759v1/file/An%20Accelerated%20Tensorial%20Double%20Proximal%20Gradient%20Method.pdf
https://doi.org/10.1007/s10957-023-02234-z

On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms

Autoři: Latafat, P. Themelis, A. Patrinos, Panagiotis a další

Přispěvatelé: Latafat, P. Themelis, A. Patrinos, Panagiotis a další

Témata: FOS: Computer and information sciences, 65K05, 90C06, 90C25, 90C30, 90C47, Technology, Computer Science - Machine Learning, Science & Technology, Convex minimization, alternating minimization algorithm, STADIUS-24-185, Computer Science, Artificial Intelligence, SPLITTING ALGORITHM, Machine Learning (cs.LG), linesearch-free adaptive stepsizes, Automation & Control Systems, locally Lipschitz gradient, Optimization and Control (math.OC), Computer Science, FOS: Mathematics, Computer Science, Interdisciplinary Applications, Mathematics - Optimization and Control, proximal gradient method

Přístupová URL adresa: http://arxiv.org/abs/2311.18431
https://lirias.kuleuven.be/handle/20.500.12942/756639

A distributed proximal gradient method with time-varying delays for solving additive convex optimizations

Autoři: Sakrapee Namsak Narin Petrot Nimit Nimana

Zdroj: Results in Applied Mathematics, Vol 18, Iss , Pp 100370- (2023)

Témata: Convex optimization, Distributed algorithm, Proximal gradient method, Delay, Convergence analysis, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S259003742300016X; https://doaj.org/toc/2590-0374

Přístupová URL adresa: https://doaj.org/article/21805b4e2a7749509d19bad4104c6c1a

Imputation and low-rank estimation with Missing Not At Random data

Autoři: Aude Sportisse Claire Boyer Julie Josse a další

Přispěvatelé: Aude Sportisse Claire Boyer Julie Josse a další

Zdroj: Statistics and Computing. 30:1629-1643

Témata: FOS: Computer and information sciences, Matrix completion, Denoising, Computer Science - Machine Learning, Machine Learning (stat.ML), 02 engineering and technology, 01 natural sciences, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG), [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Statistics - Machine Learning, Nuclear norm penalty, 0202 electrical engineering, electronic engineering, information engineering, Informative missing values, 0101 mathematics, EM algorithm, Accelerated proximal gradient method

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/pdf/1812.11409
http://arxiv.org/abs/1812.11409
https://hal.science/hal-01964720v3/document
https://hal.science/hal-01964720v3
https://doi.org/10.1007/s11222-020-09963-5
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-01964720v3
https://link.springer.com/article/10.1007/s11222-020-09963-5
https://hal.archives-ouvertes.fr/hal-01964720v3
http://dblp.uni-trier.de/db/journals/sac/sac30.html#SportisseBJ20
https://dblp.uni-trier.de/db/journals/corr/corr1812.html#abs-1812-11409
https://hal.archives-ouvertes.fr/hal-01964720/document

A note on a family of proximal gradient methods for quasi-static incremental problems in elastoplastic analysis

Autoři: Yoshihiro Kanno

Zdroj: Theoretical and Applied Mechanics Letters, Vol 10, Iss 5, Pp 315-320 (2020)

Témata: Elastoplastic analysis, Incremental problem, 0211 other engineering and technologies, 02 engineering and technology, Proximal gradient method, Engineering (General). Civil engineering (General), First-order optimization method, 01 natural sciences, Nonsmooth convex optimization, Optimization and Control (math.OC), FOS: Mathematics, TA1-2040, 0101 mathematics, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2006.03212
https://doaj.org/article/d3f841ced28843c19771791af2e7938f
https://arxiv.org/abs/2006.03212
https://arxiv.org/pdf/2006.03212.pdf
https://ui.adsabs.harvard.edu/abs/2020arXiv200603212K/abstract
https://www.sciencedirect.com/science/article/pii/S2095034920300593

Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold

Autoři: Chen, Shixiang Ma, Shiqian Man-Cho So, Anthony a další

Zdroj: SIAM Journal on Optimization. 30:210-239

Témata: Semismooth Newton method, FOS: Computer and information sciences, Stiefel manifold, Iteration complexity, Sparse PCA, Machine Learning (stat.ML), Proximal gradient method, Compressed modes, Manifold optimization, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Nonsmooth, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/pdf/1811.00980
http://arxiv.org/abs/1811.00980
https://dblp.uni-trier.de/db/journals/siamjo/siamjo30.html#ChenMSZ20
https://doi.org/10.1137/18M122457X
https://epubs.siam.org/doi/abs/10.1137/18M122457X
https://par.nsf.gov/servlets/purl/10182512
https://par.nsf.gov/biblio/10182512-proximal-gradient-method-nonsmooth-optimization-over-stiefel-manifold
http://repository.ust.hk/ir/Record/1783.1-103832