Výsledky vyhledávání - difference‐of‐convex algorithm framework*

Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees

Autoři: Zhang, Yasi Leong, Oscar

Témata: Statistics - Machine Learning, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2502.00240

An Inexact Bregman Proximal Difference-of-Convex Algorithm with Two Types of Relative Stopping Criteria

Autoři: Lei Yang Jingjing Hu Kim-Chuan Toh

Zdroj: Journal of Scientific Computing. 103

Témata: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2406.04646

Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework

Autoři: Jinan Li Benying Tan Yang Qin a další

Zdroj: Sensors, Vol 25, Iss 18, p 5696 (2025)

Témata: device-free localization, sparse representation, transform learning, Springback penalty, difference of convex functions algorithm, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/18/5696; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/2e8a261ace88404fa63033b29d6a4ee2

Initialization of the difference of convex functions optimization algorithm for nonconvex quadratic problems

Autoři: Achour, Saadi Rahmoune, Abdelaziz Ouchenane, Djamel a další

Zdroj: Filomat, 2024 Jan 01. 38(3), 1069-1083.

Přístupová URL adresa: https://www.jstor.org/stable/27387029

An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization

Autoři: Jiang, Bo Xu, Meng Cai, Xingju a další

Témata: Optimization and Control (math.OC), Optimization and Control, FOS: Mathematics

Přístupová URL adresa: http://arxiv.org/abs/2509.08561

Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent

Autoři: Rotaru, Teodor Panagiotis, Patrinos Glineur, François a další

Přispěvatelé: Rotaru, Teodor Panagiotis, Patrinos Glineur, François a další

Zdroj: PMLR Proceedings of Machine Learning Research, Vol. 258, p. 4114-4122 (2025)

Přístupová URL adresa: https://hdl.handle.net/2078.1/300850

MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm

Autoři: Yasunori Akagi Naoki Marumo Hideaki Kim a další

Zdroj: Machine Learning. 112:99-129

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Preconditioned Algorithm for Difference of Convex Functions with applications to Graph Ginzburg-Landau Model

Autoři: Shen, Xinhua Sun, Hongpeng Tai, Xuecheng

Témata: Mathematics - Numerical Analysis, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2303.14495

A preconditioned difference of convex functions algorithm with extrapolation and line search

Autoři: Zhang, Ran Sun, Hongpeng

Témata: 65K10, 65F08, 49K35, 90C25, 90C26, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2505.11914

Initialization of the difference of convex functions optimization algorithm for nonconvex quadratic problems

Autoři: Saadi Achour Abdelaziz Rahmoune Djamel Ouchenane a další

Zdroj: Filomat. 38:1069-1083

A Progressive Decoupling Algorithm for Minimizing the Difference of Convex and Weakly Convex Functions.

Autoři: de Oliveira, Welington Souza, João Carlos de Oliveira

Zdroj: Journal of Optimization Theory & Applications. Mar2025, Vol. 204 Issue 3, p1-24. 24p.

Témata: *MATHEMATICAL decomposition, *COMPUTATIONAL mathematics, *NONSMOOTH optimization, *APPLIED mathematics, *MATHEMATICAL optimization

Difference of convex algorithms for bilevel programs with applications in hyperparameter selection

Autoři: Jane J. Ye Xiaoming Yuan Shangzhi Zeng a další

Zdroj: Mathematical Programming. 198:1583-1616

Témata: bilevel program, Nonlinear programming, Optimization and Control (math.OC), bilevel model of support vector machine classification, FOS: Mathematics, 0211 other engineering and technologies, 02 engineering and technology, Nonconvex programming, global optimization, hyperparameter selection, Mathematics - Optimization and Control, difference of convex algorithm

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2102.09006
https://zbmath.org/7667542
https://doi.org/10.1007/s10107-022-01888-3

An Inexact Bregman Proximal Difference-of-Convex Algorithm with Two Types of Relative Stopping Criteria.

Autoři: Yang, Lei Hu, Jingjing Toh, Kim-Chuan

Zdroj: Journal of Scientific Computing; Jun2025, Vol. 103 Issue 3, p1-42, 42p

Joint active user detection and channel estimation for massive machine-type communications: a difference-of-convex optimization perspective.

Alternate Title: 大规模机器类型通信的联合活跃用户检测和信道估计: 凸差优化视角. (Chinese)

Autoři: Zhu, Lijun Liu, Kaihui Wan, Liangtian a další

Zdroj: Frontiers of Information Technology & Electronic Engineering; Apr2025, Vol. 26 Issue 4, p588-604, 17p

Proximal bundle methods for generalized fractional programs with ratios of difference of convex functions.

Autoři: Ghazi, Abdelouafi Roubi, Ahmed

Zdroj: RAIRO: Operations Research (2804-7303); 2025, Vol. 59 Issue 4, p1749-1774, 26p

Témata: FRACTIONAL programming, CONVEX programming, CONVEX functions, ALGORITHMS

A globally convergent difference-of-convex algorithmic framework and application to log-determinant optimization problems

Autoři: Yao, Chaorui Jiang, Xin

Témata: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2306.02001

Inertial Proximal Difference-of-Convex Algorithm with Convergent Bregman Plug-and-Play for Nonconvex Imaging

Autoři: Chow, Tsz Ching Huang, Chaoyan Wu, Zhongming a další

Témata: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2409.03262

Improved convergence rates for the Difference-of-Convex algorithm

Autoři: Rotaru, Teodor Patrinos, Panagiotis Glineur, François

Témata: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2403.16864

Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework.

Autoři: Li, Jinan Tan, Benying Qin, Yang a další

Zdroj: Sensors (14248220); Sep2025, Vol. 25 Issue 18, p5696, 29p

Témata: WIRELESS localization, MATHEMATICAL regularization, SCIENTIFIC method, MATHEMATICAL programming, WIRELESS geolocation systems

MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm.

Autoři: Akagi, Yasunori Marumo, Naoki Kim, Hideaki a další

Zdroj: Machine Learning; Jan2023, Vol. 112 Issue 1, p99-129, 31p

Témata: APPROXIMATION algorithms, CONCAVE functions, CONVEX functions, ALGORITHMS, PROBLEM solving, CONTINUOUS functions