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ASYMPTOTIC CONVERGENCE ANALYSIS OF A NEW CLASS OF PROXIMAL POINT METHODS

Author
HAGER, William W1 ; HONGCHAO ZHANG2
[1] Department of Mathematics, University of Florida, P.O. Box 118105, Gainesville, FL 32611-8105, United States
[2] Institute for Mathematics and Its Applications (IMA), University of Minnesota, 400 Lind Hall, 207 Church Street S.E, Minneapolis, MN 55455-0436, United States
Source

SIAM journal on control and optimization. 2008, Vol 46, Num 5, pp 1683-1704, 22 p ; ref : 30 ref

CODEN
SJCODC
ISSN
0363-0129
Scientific domain
Control theory, operational research
Publisher
Society for Industrial and Applied Mathematics, Philadelphia, PA
Publication country
United States
Document type
Article
Language
English
Author keyword
65Y20 90C06 90C26 degenerate optimization multiple minima proximal point self-adaptive method
Keyword (fr)
Borne erreur Convergence asymptotique Convergence numérique Ensemble convexe Espace Hilbert Fonction convexe Fonction régulière Méthode adaptative Méthode point proximal Optimisation Programmation non convexe Proximal Régularisation Sous différentiel Système dégénéré Théorie mesure
Keyword (en)
Error bound Asymptotic convergence Numerical convergence Convex set Hilbert space Convex function Smooth function Adaptive method Proximal point method Optimization Non convex programming Proximal Regularization Subdifferential Degenerate system Measure theory
Keyword (es)
Limite error Convergencia asintótica Convergencia numérica Conjunto convexo Espacio Hilbert Función convexa Función regular Método adaptativo Método punto proximal Optimización Programación no convexa Proximal Regularización Subdiferencial Sistema degenerado Teoría medida
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A03 Mathematical programming

Discipline
Operational research. Management
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20613281

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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