Výsledky vyhľadávania - Inertial proximal-gradient algorithm

A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution

Autori: László, Szilárd Csaba

Zdroj: Optimization Methods and Software. 40:947-976

Predmety: 34G25, 47J25, 47H05, 90C26, 90C30, 65K10, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Mathematics - Optimization and Control

Prístupová URL adresa: http://arxiv.org/abs/2407.10350

A two-step inertial Bregman alternating structure-adapted proximal gradient descent algorithm for nonconvex and nonsmooth problems

Zdroj: Journal of Nonlinear and Variational Analysis. 10

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

Autori: Suparat Kesornprom Papatsara Inkrong Uamporn Witthayarat a ďalší

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

Predmety: Artificial intelligence, Inverse Problems in Mathematical Physics and Imaging, Convex Optimization, Economics, Inverse Problems, minimization problem, 0211 other engineering and technologies, Computational Mechanics, Biomedical Engineering, Geometry, 02 engineering and technology, FOS: Medical engineering, 01 natural sciences, Mathematical analysis, Quantum mechanics, Sparse Approximation, inertial extrapolation, Engineering, Compressed Sensing, Convex function, QA1-939, FOS: Mathematics, Image (mathematics), Orthogonal Matching Pursuit, 0101 mathematics, Mathematical Physics, Economic growth, Computer network, forward-backward algorithm, Minification, Physics, Mathematical optimization, Advances in Photoacoustic Imaging and Tomography, Lipschitz continuity, Rate of convergence, Theory and Applications of Compressed Sensing, Computer science, Convex optimization, Regular polygon, Algorithm, Channel (broadcasting), Physical Sciences, Convergence (economics), weak convergence, Inertial frame of reference, Mathematics

Prístupová URL adresa: https://doaj.org/article/3d497ac52ad64ebda166be4248739767

An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant

Autori: Xue Gao Xingju Cai Xiangfeng Wang a ďalší

Zdroj: Journal of Global Optimization. 87:277-300

Double Inertial Proximal Gradient Algorithms for Convex Optimization Problems and Applications

Autori: Kunrada Kankam Prasit Cholamjiak

Zdroj: Acta Mathematica Scientia. 43:1462-1476

A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution

Autori: László, Szilárd Csaba

Témy: Mathematics - Optimization and Control, Mathematics - Numerical Analysis, 34G25, 47J25, 47H05, 90C26, 90C30, 65K10, text

URL: http://arxiv.org/abs/2407.10350

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

Autori: Joshua Olilima Adesanmi Mogbademu M. Asif Memon a ďalší

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/33e46f4b6bfc46e9bf239c641daa6c97

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

Autori: Mukkamala, Mahesh Chandra Ochs, Peter Pock, Thomas a ďalší

Zdroj: SIAM Journal on Mathematics of Data Science

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, Numerical Analysis (math.NA), 02 engineering and technology, Machine Learning (cs.LG), Optimization and Control (math.OC), FOS: Mathematics, 90C25, 26B25, 49M27, 52A41, 65K05, 0202 electrical engineering, electronic engineering, information engineering, Mathematics - Numerical Analysis, Mathematics - Optimization and Control

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

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

Autori: Poom Kumam Vasile Berinde Nuttapol Pakkaranang a ďalší

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

Predmety: 0101 mathematics, 01 natural sciences

Prístupová URL adresa: 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

Finite Convergence of Proximal-Gradient Inertial Algorithms Combining Dry Friction with Hessian-Driven Damping

Autori: Samir Adly Hedy Attouch

Zdroj: SIAM Journal on Optimization. 30:2134-2162

Predmety: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://hal.archives-ouvertes.fr/hal-02423584/file/Adly_Attouch_HAL_Hessian.pdf

Two-step inertial Bregman alternating structure-adapted proximal gradient descent algorithm for nonconvex and nonsmooth problems

Autori: Guo, Chenzheng Zhao, Jing

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

Prístupová URL adresa: http://arxiv.org/abs/2306.04208

Enhanced proximal gradient methods with multi inertial terms for minimization problem.

Autori: Kankam, Kunrada Cholamjiak, Watcharaporn Cholamjiak, Prasit a ďalší

Zdroj: Journal of Applied Mathematics & Computing; Dec2025, Vol. 71 Issue 6, p9089-9127, 39p

Modified proximal gradient methods involving double inertial extrapolations for monotone inclusion.

Autori: Inkrong, Papatsara Cholamjiak, Prasit

Zdroj: Mathematical Methods in the Applied Sciences. Oct2024, Vol. 47 Issue 15, p12132-12148. 17p.

Predmety: *EXTRAPOLATION, *ALGORITHMS, *CLASSIFICATION, *LITERATURE

General inertial smoothing proximal gradient algorithm for the relaxation of matrix rank minimization problem

Autori: Zhang, Jie Yang, Xinmin

Predmety: Optimization and Control (math.OC), 0211 other engineering and technologies, FOS: Mathematics, 02 engineering and technology, 0101 mathematics, Mathematics - Optimization and Control, 01 natural sciences

Prístupová URL adresa: http://arxiv.org/abs/2204.07303

Inertial Bregman proximal gradient under partial smoothness

Autori: Godeme, Jean-Jacques

Zdroj: Numerical Algorithms.

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

Prístupová URL adresa: http://arxiv.org/abs/2501.17542

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

Autori: Mukkamala, Mahesh Chandra Ochs, Peter Pock, Thomas a ďalší

Témy: 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

Inertial Bregman Proximal Gradient Algorithm For Nonconvex Problem with Smooth Adaptable Property

Autori: Zhang, Xiaoya Zhang, Hui Peng, Wei

Predmety: 90C30, 90C26, 47N10, Optimization and Control (math.OC), 0211 other engineering and technologies, FOS: Mathematics, 02 engineering and technology, 0101 mathematics, Mathematics - Optimization and Control, 01 natural sciences

Prístupová URL adresa: http://arxiv.org/abs/1904.04436

Convergence of a Relaxed Inertial Forward–Backward Algorithm for Structured Monotone Inclusions

Autori: Attouch, Hedy Cabot, Alexandre université de Bourgogne, IMB

Prispievatelia: Attouch, Hedy Cabot, Alexandre université de Bourgogne, IMB

Zdroj: Applied Mathematics & Optimization. 80:547-598

Predmety: nonconvex, convergence, Forward backward algorithm, sum, extragradient, Proximal-gradient method, 0211 other engineering and technologies, operators, [MATH] Mathematics [math], 02 engineering and technology, proximal point algorithm, iteration-complexity, Monotone inclusion, splitting method, convex minimization

Prístupová URL adresa: https://www.mendeley.com/catalogue/fbe869a8-b382-3e73-9245-36fa9652da98/
https://hal.archives-ouvertes.fr/hal-01782016/document
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02173692
https://link.springer.com/article/10.1007/s00245-019-09584-z

Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms

Autori: Mukkamala, Mahesh Chandra Ochs, Peter

Témy: Mathematics - Optimization and Control, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Information Retrieval, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1905.09050

An Inertial Proximal-Gradient Penalization Scheme for Constrained Convex Optimization Problems

Autori: Radu Ioan Boţ Ernö Robert Csetnek Nimit Nimana

Zdroj: Vietnam J Math

Predmety: Optimization, Convex Optimization, Bilevel Programming, 101016 Optimisation, Proximal-gradient algorithm, Computational Mechanics, 0211 other engineering and technologies, Geometry, 101002 Analysis, Evolutionary biology, 02 engineering and technology, Proximal Gradient Methods, Mathematical analysis, Quantum mechanics, Article, Inertial algorithm, Proper convex function, Engineering, Differentiable function, Convex function, FOS: Mathematics, Biology, Numerical Analysis, Global Optimization, Numerical Optimization Techniques, Optimization Software, Physics, Mathematical optimization, Iterative Algorithms for Nonlinear Operators and Optimization, Theory and Applications of Compressed Sensing, Applied mathematics, Convex optimization, Regular polygon, Computational Theory and Mathematics, Function (biology), Fenchel conjugate, Computer Science, Physical Sciences, Inertial frame of reference, 101016 Optimierung, Iterated function, Subderivative, Penalization, Mathematics

Popis súboru: application/pdf

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2Fs10013-017-0256-9.pdf
https://pubmed.ncbi.nlm.nih.gov/32714952
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370989
https://pubmed.ncbi.nlm.nih.gov/32714952/
https://link.springer.com/article/10.1007/s10013-017-0256-9
https://link.springer.com/content/pdf/10.1007%2Fs10013-017-0256-9.pdf
https://paperity.org/p/81127924/an-inertial-proximal-gradient-penalization-scheme-for-constrained-convex-optimization