Suchergebnisse - "proximal gradient algorithm"

On convergence of iterative thresholding algorithms to approximate sparse solution for composite nonconvex optimization

Autoren: Yaohua Hu Xinlin Hu Xiaoqi Yang et al.

Weitere Verfasser: Yaohua Hu Xinlin Hu Xiaoqi Yang et al.

Quelle: Mathematical Programming. 211:181-206

Schlagwörter: Global solution, nonconvex sparse optimization, 0211 other engineering and technologies, Iterative thresholding algorithm, 02 engineering and technology, sparse solution, Nonconvex programming, global optimization, 01 natural sciences, iterative thresholding algorithm, Numerical mathematical programming methods, Proximal gradient algorithm, global solution, proximal gradient algorithm, Nonconvex sparse optimization, 0101 mathematics, Sparse solution

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/8035684
https://doi.org/10.1007/s10107-024-02068-1

Accelerated Forward-Backward Optimization Using Deep Learning

Autoren: Banert, Sebastian Rudzusika, Jevgenija Öktem, Ozan et al.

Quelle: SIAM Journal on Optimization. 34(2):1236-1263

Schlagwörter: convex optimization, deep learning, proximal-gradient algorithm, inverse problems

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-345940

Adaptive Simulated Annealing Through Alternating Rényi Divergence Minimization

Autoren: Guilmeau, Thomas Chouzenoux, Emilie Elvira, Víctor

Weitere Verfasser: Guilmeau, Thomas Chouzenoux, Emilie Elvira, Víctor

Quelle: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Schlagwörter: Rényi divergence, [SPI] Engineering Sciences [physics], Adaptive simulated annealing, alternating Bregman proximal-gradient algorithm

Dateibeschreibung: application/pdf

Zugangs-URL: https://inria.hal.science/hal-04094489v1
https://inria.hal.science/hal-04094489v1/document
https://doi.org/10.1109/icassp49357.2023.10096619

Regularized Rényi divergence minimization through Bregman proximal gradient algorithms

Autoren: Guilmeau, Thomas Chouzenoux, Emilie Elvira, Víctor et al.

Weitere Verfasser: Guilmeau, Thomas Chouzenoux, Emilie Elvira, Víctor et al.

Quelle: ISSN: 1532-4435.

Schlagwörter: Kullback-Leibler divergence, Exponential family, Bregman proximal gradient algorithm, Rényi divergence, Variational inference, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Relation: info:eu-repo/grantAgreement//850925/EU/Majoration-Minimization algorithms for Image Processing/MAJORIS

Verfügbarkeit: https://hal.science/hal-03927834
https://hal.science/hal-03927834v2/document
https://hal.science/hal-03927834v2/file/RegularizedR%C3%A9nyiDivBPG_HAL%20%281%29.pdf

Homogeneity and sparsity pursuit using robust adaptive fused lasso

Autoren: Chang, Le Shi, Yanlin

Quelle: Chang , L & Shi , Y 2025 , ' Homogeneity and sparsity pursuit using robust adaptive fused lasso ' , Australian and New Zealand Journal of Statistics , vol. 67 , no. 2 , pp. 157-174 . https://doi.org/10.1111/anzs.70010

Schlagwörter: accelerated proximal gradient algorithm, alternating direction method of multipliers, fused lasso, lasso, oracle property, robust estimation

Dateibeschreibung: application/pdf

Verfügbarkeit: https://researchers.mq.edu.au/en/publications/e717de15-687d-4987-b662-dedf10c1c646
https://doi.org/10.1111/anzs.70010
https://research-management.mq.edu.au/ws/files/440655918/Aus_NZ_J_of_Statistics_-_2025_-_Chang_-_Homogeneity_and_Sparsity_Pursuit_Using_Robust_Adaptive_Fused_Lasso.pdf
http://www.scopus.com/inward/record.url?scp=105008656829&partnerID=8YFLogxK

Proximal Gradient Algorithm in the Presence of Adjoint Mismatch

Autoren: Savanier, Marion Chouzenoux, Emilie Pesquet, Jean-Christophe et al.

Weitere Verfasser: Savanier, Marion Chouzenoux, Emilie Pesquet, Jean-Christophe et al.

Quelle: 2020 European Signal Processing Conference
2020 28th European Signal Processing Conference (EUSIPCO)

Schlagwörter: Proximal gradient algorithm, adjoint mismatch, 0202 electrical engineering, electronic engineering, information engineering, fixed point methods, computed tomography, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], 02 engineering and technology, image reconstruction, convergence analysis, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.archives-ouvertes.fr/hal-02943659v1/file/main.pdf
https://hal.science/hal-02943659v2
https://hal.archives-ouvertes.fr/hal-02943659/document
https://dblp.uni-trier.de/db/conf/eusipco/eusipco2020.html#SavanierCPRT20
https://hal.archives-ouvertes.fr/hal-02943659v2

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction

Autoren: Yizun Lin Yongxin He C Ross Schmidtlein et al.

Quelle: Inverse Problems. 41:045002

Schlagwörter: positron emission tomography, total variation, Optimization and Control (math.OC), Numerical methods for mathematical programming, optimization and variational techniques, Communication, information, 65J22, 65K05, 90C25, FOS: Mathematics, Mathematical programming, accelerated preconditioned proximal gradient algorithm, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), image reconstruction, Mathematics - Optimization and Control

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2409.13344
https://zbmath.org/8034684
https://doi.org/10.1088/1361-6420/adbd6a

Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays

Autoren: Latafat, Puya Patrinos, Panagiotis

Quelle: Optimization Methods and Software. 37:2038-2065

Schlagwörter: Technology, Operations Research, 0209 industrial biotechnology, DISTRIBUTED OPTIMIZATION, message passing, Mathematics, Applied, 02 engineering and technology, primal-dual algorithms, 0102 Applied Mathematics, CONVERGENCE, FOS: Mathematics, 4901 Applied mathematics, STADIUS-22-35, Mathematics - Optimization and Control, 0802 Computation Theory and Mathematics, Science & Technology, 4602 Artificial intelligence, Operations Research & Management Science, 0103 Numerical and Computational Mathematics, Computer Science, Software Engineering, PROXIMAL GRADIENT ALGORITHM, Optimization and Control (math.OC), Physical Sciences, Computer Science, 4903 Numerical and computational mathematics, Asynchronous algorithms, distributed optimization, Mathematics

Zugangs-URL: http://arxiv.org/pdf/1809.07199
http://arxiv.org/abs/1809.07199
https://lirias.kuleuven.be/handle/20.500.12942/694035
https://doi.org/10.1080/10556788.2021.2023524

A Deep Unfolding Network for Multispectral and Hyperspectral Image Fusion

Autoren: Bihui Zhang Xiangyong Cao Deyu Meng

Quelle: Remote Sensing, Vol 16, Iss 21, p 3979 (2024)

Schlagwörter: hyperspectral and multispectral image fusion, convolutional sparse coding, proximal gradient algorithm, convolutional neural networks, Science

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/21/3979; https://doaj.org/toc/2072-4292

Zugangs-URL: https://doaj.org/article/ddb6841fcf2e4b208d4017f88f8338ae

Regularized Rényi divergence minimization through Bregman proximal gradient algorithms

Autoren: Guilmeau, Thomas Chouzenoux, Emilie Elvira, Víctor et al.

Weitere Verfasser: Guilmeau, Thomas Chouzenoux, Emilie Elvira, Víctor et al.

Quelle: Inria Saclay-Île de France. 2024

Schlagwörter: Rényi divergence, Kullback-Leibler divergence, Exponential family, Bregman proximal gradient algorithm, Variational inference, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Zugangs-URL: https://hal.science/hal-03927834
https://hal.science/hal-03927834v2/document

Bregman Proximal Gradient Algorithm With Extrapolation for a Class of Nonconvex Nonsmooth Minimization Problems

Autoren: Xiaoya Zhang Roberto Barrio M. Angeles Martinez et al.

Quelle: Zaguán. Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
instname
IEEE Access, Vol 7, Pp 126515-126529 (2019)

Schlagwörter: 90C30, 90C26, 47N10, Optimization and Control (math.OC), bregman distance, proximal gradient algorithm, smooth adaptive condition, FOS: Mathematics, 0211 other engineering and technologies, Bregman proximal gradient algorithm with extrapolation, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, relative weakly convexity, Mathematics - Optimization and Control, TK1-9971

Dateibeschreibung: application/pdf

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809681.pdf
http://arxiv.org/abs/1904.11295
http://zaguan.unizar.es/record/84729
https://doaj.org/article/c9093ad0fcfe472ab1df988d89f77e56
https://ieeexplore.ieee.org/document/8809681
https://doi.org/10.1109/ACCESS.2019.2937005
https://dblp.uni-trier.de/db/journals/access/access7.html#ZhangBM0C19

Difference of two norms-regularizations forQ-Lasso

Autoren: Moudafi, Abdellatif MOUDAFI, Abdellatif

Weitere Verfasser: Moudafi, Abdellatif MOUDAFI, Abdellatif

Quelle: Applied Computing and Informatics, Vol 17, Iss 1, Pp 79-89 (2021)

Schlagwörter: Q-Lasso, 0211 other engineering and technologies, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [MATH] Mathematics [math], Information technology, 02 engineering and technology, T58.5-58.64, 01 natural sciences, DC-regularization, Split feasibility, Proximal gradient algorithm, Majorized penalty algorithm, Soft-thresholding, 0101 mathematics

Zugangs-URL: https://www.emerald.com/insight/content/doi/10.1016/j.aci.2018.07.002/full/pdf?title=difference-of-two-norms-regularizations-for-italicqitalic-lasso
https://doaj.org/article/296ccd7c133748ac8e5f1d622233c29e
https://www.sciencedirect.com/science/article/abs/pii/S2210832718301960#!
https://www.emerald.com/insight/content/doi/10.1016/j.aci.2018.07.002/full/html
https://hal-amu.archives-ouvertes.fr/hal-02094682
https://amu.hal.science/hal-02094682v1

Difference of two norms-regularizations for Q-Lasso

Autoren: Abdellatif Moudafi

Quelle: Applied Computing and Informatics, Vol 17, Iss 1, Pp 79-89 (2021)

Schlagwörter: Q-Lasso, Split feasibility, Soft-thresholding, DC-regularization, Proximal gradient algorithm, Majorized penalty algorithm, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2634-1964; https://doaj.org/toc/2210-8327

Zugangs-URL: https://doaj.org/article/296ccd7c133748ac8e5f1d622233c29e

Efficient 2D adaptive beamforming algorithm based on sparse array optimisation

Autoren: Can Zhu Chaoyu Wang Hongtao Li et al.

Quelle: The Journal of Engineering (2019)

Schlagwörter: computational complexity, sparse array optimisation, interference suppression, complete received signal matrix, accelerated proximal gradient algorithm, adaptive beamforming weight, matrix algebra, 02 engineering and technology, Engineering (General). Civil engineering (General), genetic algorithms, matrix completion theory, genetic algorithm, sparse array elements, 0202 electrical engineering, electronic engineering, information engineering, signal model, array signal processing, TA1-2040, gradient methods, sparse sampling array

Zugangs-URL: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/joe.2019.0767
https://doaj.org/article/081ebf8740934c9bb3b6c9ec833ef62f
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/joe.2019.0767

A general double-proximal gradient algorithm for d.c. programming

Autoren: Banert, Sebastian Bot, Radu Ioan

Quelle: Mathematical programming. 178(1-2):301-326

Schlagwörter: d.c. programming, Toland dual, Proximal-gradient algorithm, Kurdyka-Lojasiewicz property, Convergence analysis

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264316

Fast multidimensional completion and principal component analysis methods via the cosine product

Autoren: Bentbib, A. El Hachimi, A. Jbilou, Khalide et al.

Weitere Verfasser: Bentbib, A. El Hachimi, A. Jbilou, Khalide et al.

Quelle: Calcolo. 59

Schlagwörter: Tensor nuclear norm, Proximal Gradient Algorithm, TRPCA, 0202 electrical engineering, electronic engineering, information engineering, Cosine-SVD, [MATH] Mathematics [math], 02 engineering and technology, 0101 mathematics, ADMM, Cosine-product, 01 natural sciences, Completion

Regularized Rényi divergence minimization through Bregman proximal gradient algorithms

Autoren: Guilmeau, Thomas Chouzenoux, Emilie Elvira, Víctor

Weitere Verfasser: Guilmeau, Thomas Chouzenoux, Emilie Elvira, Víctor

Schlagwörter: Rényi divergence, Kullback-Leibler divergence, FOS: Mathematics, 62F15, 62F30, 62B11, 90C26, 90C30, Exponential family, Mathematics - Statistics Theory, Statistics Theory (math.ST), Bregman proximal gradient algorithm, Variational inference, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2211.04776
https://hal.science/hal-03927834v2

A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations

Autoren: Faulwasser, Timm Bonvin, Dominique

Quelle: Computers & chemical engineering. 115:474-486

Schlagwörter: Gas compressors, Modifier adaptation, Model uncertainty, Real-time optimization, Interconnected systems, Proximal-gradient algorithm

Stochastic proximal-gradient algorithms for penalized mixed models

Autoren: Gersende Fort Edouard Ollier Adeline Samson et al.

Weitere Verfasser: Gersende Fort Edouard Ollier Adeline Samson et al.

Quelle: Statistics and Computing. 29:231-253

Schlagwörter: Methodology (stat.ME), FOS: Computer and information sciences, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Stochastic Approximation, Non-linear mixed effect models, Stochastic EM algorithm, Proximal-Gradient algorithm, Stochastic Gradient, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], Statistics - Computation, Statistics - Methodology, Computation (stat.CO)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/pdf/1704.08891
http://arxiv.org/abs/1704.08891
https://hal.archives-ouvertes.fr/hal-01526281
https://link.springer.com/article/10.1007/s11222-018-9805-7
https://dblp.uni-trier.de/db/journals/sac/sac29.html#FortOS19
https://doi.org/10.1007/s11222-018-9805-7
https://hal.archives-ouvertes.fr/hal-01526281/document
https://hal.science/hal-01526281v1/document
https://hal.science/hal-01526281v1
https://doi.org/10.1007/s11222-018-9805-7

An inexact proximal gradient algorithm with extrapolation for a class of nonconvex nonsmooth optimization problems

Autoren: Zehui Jia Zhongming Wu Xiaomei Dong

Quelle: Journal of Inequalities and Applications, Vol 2019, Iss 1, Pp 1-16 (2019)

Schlagwörter: Nonconvex minimization, Proximal gradient algorithm, Relative error criterion, Extrapolation, Global convergence, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: http://link.springer.com/article/10.1186/s13660-019-2078-7; https://doaj.org/toc/1029-242X

Zugangs-URL: https://doaj.org/article/c08a31ba556841778f52bdd35ad93f78