Title
Polynomial convergence of Mehrotra-type prediction-corrector infeasible-IPM for symmetric optimization based on the commutative class directions.
Abstract
In this paper, we establish polynomial convergence of Mehrotra-type prediction corrector infeasible-interior-point method for symmetric optimization using a wide neighborhood of the central path. In order to show that the convergence of our algorithm for the commutative class of search directions, we prove the important inequality ‖x∘y‖1⩽3‖x‖F‖y‖F, where a mapping ‖·‖1 is defined by ‖x‖1=∑i=1r|λi| with the spectral decomposition x=∑i=1rλici. In particular, the complexity bound is O(r2logε-1) for the Nesterov–Todd search direction, and O(r5/2logε-1) for the xs and sx search direction. We provide some preliminary numerical results as well.
Year
DOI
Venue
2014
10.1016/j.amc.2013.12.145
Applied Mathematics and Computation
Keywords
Field
DocType
Euclidean Jordan algebra,Symmetric optimization,Interior-point methods,Mehrotra-type algorithm,Polynomial complexity
Convergence (routing),Discrete mathematics,Combinatorics,Mathematical optimization,Polynomial,Commutative property,Mathematical analysis,Matrix decomposition,Polynomial complexity,Interior point method,Mathematics
Journal
Volume
Issue
ISSN
230
null
0096-3003
Citations 
PageRank 
References 
2
0.46
17
Authors
3
Name
Order
Citations
PageRank
Ximei Yang1262.34
Hongwei Liu27812.29
Xiaoliang Dong361.22