Výsledky vyhledávání - Approximation proximal gradient algorithm*

An approximation proximal gradient algorithm for nonconvex-linear minimax problems with nonconvex nonsmooth terms

Autoři: Jiefei He Huiling Zhang Zi Xu

Zdroj: Journal of Global Optimization. 90:73-92

A Proximal–Based Algorithm for Piecewise Sparse Approximation with Application to Scattered Data Fitting

Autoři: Zhong Yijun Li Chongjun Li Zhong a další

Zdroj: International Journal of Applied Mathematics and Computer Science, Vol 32, Iss 4, Pp 671-682 (2022)

Témata: piecewise sparse approximation, proximal gradient, scattered data fitting, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2083-8492

Přístupová URL adresa: https://doaj.org/article/28c85892611b454b8b96b4b8e08ae0a9

Nonlocal Matrix Rank Minimization Model and Its Alternating Proximal Gradient Method for Image Inpainting.

Autoři: Hui-Yin Yan Hao Chen

Zdroj: IAENG International Journal of Computer Science. Oct2025, Vol. 52 Issue 10, p4016-4030. 15p.

Témata: Image processing, Computer vision, Image reconstruction, Mathematical regularization, Optimization algorithms

Strong convergence and bounded perturbation resilience of a modified proximal gradient algorithm

Autoři: Yanni Guo Wei Cui

Zdroj: Journal of Inequalities and Applications, Vol 2018, Iss 1, Pp 1-15 (2018)

Témata: Strong convergence, Bounded perturbation resilience, Modified proximal gradient algorithm, Viscosity approximation, Convex minimization problem, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s13660-018-1695-x; https://doaj.org/toc/1029-242X

Přístupová URL adresa: https://doaj.org/article/d21be62ca1324ae3a2c96168ae077628

An approximation proximal gradient algorithm for nonconvex-linear minimax problems with nonconvex nonsmooth terms.

Autoři: He, Jiefei Zhang, Huiling Xu, Zi

Zdroj: Journal of Global Optimization; Sep2024, Vol. 90 Issue 1, p73-92, 20p

Témata: MIMO systems, WIRELESS communications, MACHINE learning, ALGORITHMS, NONCONVEX programming

A dual active-set proximal Newton algorithm for sparse approximation of correlation matrices.

Autoři: Liu, Xiao Shen, Chungen Wang, Li

Zdroj: Optimization Methods & Software. Oct2022, Vol. 37 Issue 5, p1820-1844. 25p.

Témata: *APPROXIMATION algorithms, *MATRIX norms, *NEWTON-Raphson method, *MATRICES (Mathematics), *SPARSE approximations

The Inexact Cyclic Block Proximal Gradient Method and Properties of Inexact Proximal Maps.

Autoři: Farias Maia, Leandro Gutman, David Huckleberry Hughes, Ryan Christopher

Zdroj: Journal of Optimization Theory & Applications. May2024, Vol. 201 Issue 2, p668-698. 31p.

Témata: *APPROXIMATION error, *NONSMOOTH optimization, *SET-valued maps

Decentralized Proximal Gradient Algorithms With Linear Convergence Rates.

Autoři: Alghunaim, Sulaiman A. Ryu, Ernest K. Yuan, Kun a další

Zdroj: IEEE Transactions on Automatic Control. Jun2021, Vol. 66 Issue 6, p2787-2794. 8p.

Témata: *ALGORITHMS, SYMMETRIC matrices, APPROXIMATION algorithms, CONVEX functions, COST functions

A VISCOSITY-PROXIMAL GRADIENT METHOD WITH INERTIAL EXTRAPOLATION FOR SOLVING CERTAIN MINIMIZATION PROBLEMS IN HILBERT SPACE.

Autoři: JOLAOSO, L. O. ABASS, H. A. MEWOMO, O. T.

Zdroj: Archivum Mathematicum. 2019, Vol. 55 Issue 3, p167-194. 28p. 1 Chart, 4 Graphs.

Témata: *HILBERT space, *APPROXIMATION algorithms, *EXTRAPOLATION, *FIXED point theory

Smoothing fast proximal gradient algorithm for the relaxation of matrix rank regularization problem.

Autoři: Zhang, Jie Yang, Xinmin

Zdroj: Applied Numerical Mathematics. Aug2023, Vol. 190, p303-320. 18p.

Témata: *ALGORITHMS, *MATRICES (Mathematics), *EXTRAPOLATION, *SMOOTHING (Numerical analysis)

A Proximal-Gradient Algorithm for Crystal Surface Evolution

Autoři: Craig, Katy Liu, Jian-Guo Lu, Jianfeng a další

Témata: Mathematics - Numerical Analysis, Mathematics - Analysis of PDEs, 5A15, 47J25, 47J35, 49J45, 49M29, 65K10, 82B21, 82B05, text

URL: http://arxiv.org/abs/2006.12528

Efficiency of Stochastic Coordinate Proximal Gradient Methods on Nonseparable Composite Optimization.

Autoři: Necoara, Ion Chorobura, Flavia

Zdroj: Mathematics of Operations Research. May2025, Vol. 50 Issue 2, p993-1018. 26p.

Témata: *STOCHASTIC analysis, *SCALABILITY, *ALGORITHMS, CONVEX sets, GRANTS (Money)

Proximal gradient algorithm for nonconvex low tubal rank tensor recovery.

Autoři: Liu, Yanhui Zeng, Xueying Wang, Weiguo

Zdroj: BIT: Numerical Mathematics. Jun2023, Vol. 63 Issue 2, p1-23. 23p.

On Perturbed Proximal Gradient Algorithms.

Autoři: Atchadé, Yves F. Fort, Gersende Moulines, Eric

Zdroj: Journal of Machine Learning Research. 2017, Vol. 18 Issue 9-17, p1-33. 33p.

Témata: *ALGORITHMS, *MONTE Carlo method, *LINEAR statistical models, *MARKOV chain Monte Carlo, *MATHEMATICAL bounds

New inertial proximal gradient methods for unconstrained convex optimization problems

Autoři: Peichao Duan Yiqun Zhang Qinxiong Bu

Zdroj: Journal of Inequalities and Applications, Vol 2020, Iss 1, Pp 1-18 (2020)

Témata: Convex optimization, Viscosity approximation, Proximal operator, Inertial acceleration, Alternated inertial acceleration, Mathematics, QA1-939

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/b66ca99c2d5f4b78bcea4f9e0fe06145

On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation

Autoři: Yang, Yingzhen Feng, Jiashi Jojic, Nebojsa a další

Témata: Mathematics - Optimization and Control, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1709.01230

Stochastic Bregman Proximal Gradient Method Revisited: Kernel Conditioning and Painless Variance Reduction.

Autoři: Zhang, Junyu¹ (AUTHOR) junyuz@nus.edu.sg

Zdroj: Mathematical Programming. Oct2025, p1-60.

Témata: *NONLINEAR programming, COMPUTATIONAL complexity, STOCHASTIC programming, OPTIMIZATION algorithms, TIKHONOV regularization, STATISTICAL measurement

Non-convex regularization and accelerated gradient algorithm for sparse portfolio selection.

Autoři: Li, Qian Zhang, Wei Wang, Guoqiang a další

Zdroj: Optimization Methods & Software. Apr2023, Vol. 38 Issue 2, p434-456. 23p.

Témata: *REGULARIZATION parameter, *ALGORITHMS, *SHARPE ratio

A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration.

Autoři: Zuo, Wangmeng Lin, Zhouchen

Zdroj: IEEE Transactions on Image Processing. Oct2011, Vol. 20 Issue 10, p2748-2759. 12p.

Témata: *IMAGE reconstruction, *APPROXIMATION algorithms, *LIPSCHITZ spaces, *MONOTONE operators, *ITERATIVE methods (Mathematics), *STOCHASTIC convergence, *TELEVISION, *IMAGE processing

Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning

Autoři: Ding, Kuangyu Li, Jingyang Toh, Kim-Chuan

Témata: Mathematics - Optimization and Control, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2306.14522