Suchergebnisse - Inertial proximal gradient algorithm

A recent proximal gradient algorithm for convex minimization problem using double inertial extrapolations

Autoren: Suparat Kesornprom Papatsara Inkrong Uamporn Witthayarat et al.

Quelle: AIMS Mathematics, Vol 9, Iss 7, Pp 18841-18859 (2024)

Schlagwörter: forward-backward algorithm, minimization problem, inertial extrapolation, weak convergence, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2473-6988

Zugangs-URL: https://doaj.org/article/3d497ac52ad64ebda166be4248739767

An innovative inertial extra-proximal gradient algorithm for solving convex optimization problems with application to image and signal processing

Autoren: Joshua Olilima Adesanmi Mogbademu M. Asif Memon et al.

Quelle: Heliyon, Vol 9, Iss 10, Pp e20513- (2023)

Schlagwörter: Forward-backward algorithm, Signal & image processing, Convex minimization problem, Weak convergence, Inertial method, Science (General), Q1-390, Social sciences (General), H1-99

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844023077216; https://doaj.org/toc/2405-8440

Zugangs-URL: https://doaj.org/article/33e46f4b6bfc46e9bf239c641daa6c97

Superiorization methodology and perturbation resilience of inertial proximal gradient algorithm with application to signal recovery

Autoren: Poom Kumam Vasile Berinde Nuttapol Pakkaranang et al.

Quelle: The Journal of Supercomputing. 76:9456-9477

Schlagwörter: 0101 mathematics, 01 natural sciences

Zugangs-URL: https://dblp.uni-trier.de/db/journals/tjs/tjs76.html#PakkaranangKBS20
https://link.springer.com/article/10.1007/s11227-020-03215-z
https://doi.org/10.1007/s11227-020-03215-z

Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization

Autoren: Mukkamala, Mahesh Chandra Ochs, Peter Pock, Thomas et al.

Index Begriffe: Mathematics - Optimization and Control, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Mathematics - Numerical Analysis, 90C25, 26B25, 49M27, 52A41, 65K05, text

URL: http://arxiv.org/abs/1904.03537

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

Autoren: Zhang, Jie Yang, Xinmin

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

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

General inertial proximal stochastic variance reduction gradient for nonconvex nonsmooth optimization

Autoren: Shuya Sun Lulu He

Quelle: Journal of Inequalities and Applications, Vol 2023, Iss 1, Pp 1-22 (2023)

Schlagwörter: Finite sum optimization, Nonconvex optimization, Stochastic variance reduction gradient, Inertial proximal gradient, Mathematics, QA1-939

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/cc090afc82af44ecbd63467bd3b81e6b

New inertial proximal gradient methods for unconstrained convex optimization problems

Autoren: Peichao Duan Yiqun Zhang Qinxiong Bu

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/b66ca99c2d5f4b78bcea4f9e0fe06145

A modified inertial proximal gradient method for minimization problems and applications

Autoren: Suparat Kesornprom Prasit Cholamjiak

Quelle: AIMS Mathematics, Vol 7, Iss 5, Pp 8147-8161 (2022)

Schlagwörter: convex minimization problem, forward-backward method, adaptive stepsize, inertial method, weak convergence, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2473-6988

Zugangs-URL: https://doaj.org/article/355220d2fee4453da7eb4765a4ed8558

A new proximal heavy ball inexact line-search algorithm.

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

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

Schlagwörter: *ALGORITHMS, TABU search algorithm, NONCONVEX programming

Superiorization methodology and perturbation resilience of inertial proximal gradient algorithm with application to signal recovery.

Autoren: Pakkaranang, Nuttapol Kumam, Poom Berinde, Vasile et al.

Quelle: Journal of Supercomputing; Dec2020, Vol. 76 Issue 12, p9456-9477, 22p

Schlagwörter: ALGORITHMS

Double Inertial Proximal Gradient Algorithms for Convex Optimization Problems and Applications.

Autoren: Kankam, Kunrada Cholamjiak, Prasit

Quelle: Acta Mathematica Scientia; May2023, Vol. 43 Issue 3, p1462-1476, 15p

Approximate bregman proximal gradient algorithm for relatively smooth nonconvex optimization.

Autoren: Takahashi, Shota Takeda, Akiko

Quelle: Computational Optimization & Applications; Jan2025, Vol. 90 Issue 1, p227-256, 30p

Schlagwörter: LIPSCHITZ continuity, COMPUTATIONAL mathematics, LEAST squares, LINEAR systems, ALGORITHMS, NONSMOOTH optimization

Inertial self-adaptive algorithms for solving non-smooth convex optimization problems.

Autoren: Chen, Xin Duan, Peichao

Quelle: Numerical Algorithms; Jan2025, Vol. 98 Issue 1, p133-163, 31p

Schlagwörter: COMPUTATIONAL mathematics, ALGORITHMS

New inertial proximal gradient methods for unconstrained convex optimization problems.

Autoren: Duan, Peichao Zhang, Yiqun Bu, Qinxiong

Quelle: Journal of Inequalities & Applications; 12/7/2020, Vol. 2020 Issue 1, p1-18, 18p

Schlagwörter: ALGORITHMS, CONJUGATE gradient methods, VISCOSITY, INTEGRAL inequalities, MATHEMATICAL equivalence

A nonmonotone accelerated proximal gradient method with variable stepsize strategy for nonsmooth and nonconvex minimization problems.

Autoren: Liu, Hongwei Wang, Ting Liu, Zexian

Quelle: Journal of Global Optimization; Aug2024, Vol. 89 Issue 4, p863-897, 35p

Schlagwörter: NONSMOOTH optimization, IMAGE processing, SMOOTHNESS of functions, MACHINE learning, PROBLEM solving

Inertial proximal gradient methods with Bregman regularization for a class of nonconvex optimization problems.

Autoren: Wu, Zhongming Li, Chongshou Li, Min et al.

Quelle: Journal of Global Optimization; Mar2021, Vol. 79 Issue 3, p617-644, 28p

Schlagwörter: CRITICAL point theory, DIFFERENTIAL inclusions

On the Proximal Gradient Algorithm with Alternated Inertia.

Autoren: Iutzeler, Franck Malick, Jérôme

Quelle: Journal of Optimization Theory & Applications; Mar2018, Vol. 176 Issue 3, p688-710, 23p

Schlagwörter: INERTIA (Mechanics), GEOMETRIC approach, FUNCTION spaces, CONIC sections, TECHNOLOGY convergence

A smoothing proximal gradient algorithm with extrapolation for the relaxation of ℓ0 regularization problem.

Autoren: Zhang, Jie Yang, Xinmin Li, Gaoxi et al.

Quelle: Computational Optimization & Applications; Apr2023, Vol. 84 Issue 3, p737-760, 24p

Schlagwörter: ALGORITHMS, EXTRAPOLATION

Inertial Gradient-Descent algorithms for convex minimization

Algorithmes de descente de gradient inertiels pour la minimisation convexe.

Autoren: Apidopoulos, Vasileios

Thesis Advisors: Bordeaux, Aujol, Jean-François, Dossal, Charles

Schlagwörter: Optimisation convexe, Condition de croissance, Analyse de Lyapunov, Systèmes dynamiques, Algorithmes inertiels, Convex optimization, Growth condition, Lyapunov analysis, Dynamical systems, Inertial algorithms

Verfügbarkeit: http://www.theses.fr/2019BORD0175/document

New inertial forward–backward algorithm for convex minimization with applications

Autoren: Kankam Kunrada Cholamjiak Watcharaporn Cholamjiak Prasit

Quelle: Demonstratio Mathematica, Vol 56, Iss 1, Pp 1168-1200 (2023)

Schlagwörter: tseng’s extragradient method, image recovery, inertial technique, minimization problem, 65k05, 90c25, 90c30, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2391-4661

Zugangs-URL: https://doaj.org/article/63e82ed26c264169b1ba9396649960c0