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Applications of the Proximal Point Algorithm with nonquadratic Kernel to Convex Programming
Brohé, Myrana; Tossings, Patricia
2000
 

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Keywords :
Proximal point algorithm; Generalized resolvent operator; Convex optimization; Bregman functions; Duality
Abstract :
[en] The proximal point algorithm with nonquadratic kernel is used for solving convex programming problems on a finite dimensional Hilbert space. Dual and primal-dual problems are solved by using aumented lagrangians.
Disciplines :
Mathematics
Author, co-author :
Brohé, Myrana
Tossings, Patricia ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Mathématiques générales
Language :
English
Title :
Applications of the Proximal Point Algorithm with nonquadratic Kernel to Convex Programming
Publication date :
2000
Publisher :
Institut de Mathématique de l'Université de Liège, Liège, Belgium
Number of pages :
30
Source :
Available on ORBi :
since 09 April 2013

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