Title
On the convergence of the entropy-exponential penalty trajectories and generalized proximal point methods in semidefinite optimization
Abstract
The convergence of primal and dual central paths associated to entropy and exponential functions, respectively, for semidefinite programming problem are studied in this paper. It is proved that the primal path converges to the analytic center of the primal optimal set with respect to the entropy function, the dual path converges to a point in the dual optimal set and the primal-dual path associated to this paths converges to a point in the primal-dual optimal set. As an application, the generalized proximal point method with the Kullback-Leibler distance applied to semidefinite programming problems is considered. The convergence of the primal proximal sequence to the analytic center of the primal optimal set with respect to the entropy function is established and the convergence of a particular weighted dual proximal sequence to a point in the dual optimal set is obtained.
Year
DOI
Venue
2009
10.1007/s10898-008-9367-x
J. Global Optimization
Keywords
Field
DocType
Generalized proximal point methods,Bregman distances,Central path,Semidefinite programming
Convergence (routing),Proximal point method,Mathematical optimization,Exponential function,Proximal point,Mathematical analysis,Binary entropy function,Mathematics,Semidefinite programming
Journal
Volume
Issue
ISSN
45
2
0925-5001
Citations 
PageRank 
References 
0
0.34
14
Authors
3
Name
Order
Citations
PageRank
O. P. Ferreira1786.41
P. R. Oliveira260.84
R. C. Silva300.34