Suchergebnisse - "Proximal minimization algorithm"
-
1
Autoren:
Quelle: Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-23 (2024)
Schlagwörter: Optimality conditions, weak inertial, Weak inertial, proximal minimization algorithm, nonconvex-nonsmooth optimization, QA1-939, Kurdyka-Łojasiewicz property, Nonconvex-nonsmooth optimization, Kurdyka–Łojasiewicz property, Mathematics, Proximal minimization algorithm, Set-valued and variational analysis
Dateibeschreibung: application/xml
-
2
Autoren: et al.
Quelle: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). :435-440
Schlagwörter: LTE-Advanced, proximal minimization algorithm, 9. Industry and infrastructure, Device-to-device, 0202 electrical engineering, electronic engineering, information engineering, carrier aggregation, 02 engineering and technology, 7. Clean energy, energy efficiency, heterogeneous networks, mode selection, spectrum allocation
Zugangs-URL: http://ieeexplore.ieee.org/document/7562116/
https://qspace.qu.edu.qa/handle/10576/21115
https://ieeexplore.ieee.org/document/7562116/
http://dblp.uni-trier.de/db/conf/infocom/infocom2016w.html#GalanopoulosKAF16
https://dblp.uni-trier.de/db/conf/infocom/infocom2016w.html#GalanopoulosKAF16
https://hdl.handle.net/10576/21115 -
3
Autoren:
Quelle: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2019, E102.A(2):351
-
4
Autoren: Paul Tseng
Quelle: Journal of Optimization Theory and Applications. 109:475-494
Schlagwörter: nondifferentiable minimization, convergence, stationary point, Gauss-Seidel method, 02 engineering and technology, Nonconvex programming, global optimization, 01 natural sciences, Numerical mathematical programming methods, Nonlinear programming, proximal minimization algorithm, quasiconvex functions, pseudoconvex functions, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, block coordinate descent method
Dateibeschreibung: application/xml
Zugangs-URL: https://link.springer.com/article/10.1023/A:1017501703105
https://ideas.repec.org/a/spr/joptap/v109y2001i3d10.1023_a1017501703105.html
http://gautampendse.com/software/lasso/webpage/Tseng2001.pdf
http://leitang.net/presentation/BCD-convergence.pdf
https://dl.acm.org/doi/10.1023/A%3A1017501703105
https://EconPapers.repec.org/RePEc:spr:joptap:v:109:y:2001:i:3:d:10.1023_a:1017501703105 -
5
Autoren: EcksteinJonathan
Quelle: Mathematics of Operations Research. 18:202-226
Schlagwörter: Convex programming, distance measure, Numerical methods based on nonlinear programming, \(D\)-function proximal minimization algorithm, strictly convex differentiable function, 0211 other engineering and technologies, multiplier methods, 02 engineering and technology, nonlinear version of the proximal point algorithm, Bregman function, nonquadratic variations on the proximal method of multipliers, Monotone operators and generalizations
Dateibeschreibung: application/xml
Zugangs-URL: https://dl.acm.org/doi/abs/10.5555/2781820.2781832
-
6
Autoren:
Weitere Verfasser:
Quelle: Journal of Optimization Theory and Applications
Schlagwörter: entropy optimization, Nonlinear programming, proximal minimization algorithm, \(D\)-functions, 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, Bregman functions, 01 natural sciences
Dateibeschreibung: application/xml
Full Text Finder
Nájsť tento článok vo Web of Science