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Central Region Method

Authors :
Kees Roos
Shuzhong Zhang
Tamás Terlaky
Hans Frenk
Source :
Applied Optimization ISBN: 9781441948199
Publication Year :
2000
Publisher :
Springer US, 2000.

Abstract

In this chapter, we discuss a modification of the standard path-following scheme that tends to speed up the global convergence. This modification, the central region method, generates iterates that do not really trace the central path, or at least not closely. In this way, it has a relatively large freedom of movement, and consequently the ability to take long steps. This makes it interesting to consider more sophisticated search directions. We propose a search direction that is built up in three phases, viz. 1. Initial centering, 2. Predictor, 3. Second order centrality corrector.

Details

ISBN :
978-1-4419-4819-9
ISBNs :
9781441948199
Database :
OpenAIRE
Journal :
Applied Optimization ISBN: 9781441948199
Accession number :
edsair.doi...........4e794091ccb3f367106fd6bd1cab25d7
Full Text :
https://doi.org/10.1007/978-1-4757-3216-0_7