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Surrogate programming and multipliers in quasi-convex programming

Author
PENOT, Jean-Paul1 ; VOLLE, Michel2
[1] Department of Mathematics, University of Pau, Avenue de l'Université, 64000 Pau, France
[2] Department of Mathematics, University of Avignon, 33 rue Louis Pasteur, 84000 Avignon, France
Source

SIAM journal on control and optimization. 2004, Vol 42, Num 6, pp 1994-2003, 10 p ; ref : 40 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
Keyword (fr)
Convexité Fonction lagrangienne Multiplicateur Méthode primale duale Point col Programmation convexe Qualification Solution optimale Théorème existence
Keyword (en)
Convexity Lagrangian function Multiplier Primal dual method Saddle point Convex programming Qualification Optimal solution Existence theorem
Keyword (es)
Convexidad Multiplicador Método primal dual Punto silla Programación convexa Cualificación Solución óptima Teorema existencia
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A03 Mathematical programming

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D01 General

Discipline
Computer science : theoretical automation and systems Operational research. Management
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16335799

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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