[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