Convergence Analysis
of Inexact Infeasible Interior Point Method
for Linear Optimization

Technical Report MS 2007-003

G. Al-Jeiroudi and J. Gondzio

Abstract
In this paper we present the convergence analysis of the inexact infeasible path-following (IIPF) interior point algorithm. In this algorithm the preconditioned conjugate gradient method is used to solve the reduced KKT system (the augmented system). The augmented system is preconditioned by using a block triangular matrix.
The KKT system is solved approximately. Therefore, it becomes necessary to study the convergence of interior point method for this specific inexact case. We present the convergence analysis of the inexact infeasible path-following (IIPF) algorithm, prove the global convergence of this method and provide complexity analysis.

Key words: Inexact Interior Point Method, Preconditioned Indefinite System,
Infeasible Interior Point Algorithm, Linear Optimization.


Text
PDF MS07-003.pdf.
History:
Written: August 30, 2007, revised March 16, 2008.
Published: Journal of Optimization Theory and Applications 141 (2009) pp 231-247.

Related Software:
HOPDM Higher Order Primal Dual Method.