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Counterexample to a Conjecture on an Infeasible Interior-Point Method

Counterexample to a conjecture on an infeasible interior-point method
Authors: Gu, G. (author); Roos, C. (author);

Counterexample to a Conjecture on an Infeasible Interior-Point Method

Abstract

Summary: In [the second author, SIAM J. Optim. 16, No.~4, 1110--1136 (2006; Zbl 1131.90029)], Roos proved that the devised full-step infeasible algorithm has \(O(n)\) worst-case iteration complexity. This complexity bound depends linearly on a parameter \(\bar{\kappa}(\zeta)\), which is proved to be less than \(\sqrt{2n}\). Based on extensive computational evidence (hundreds of thousands of randomly generated problems), Roos conjectured that \(\bar{\kappa}(\zeta)=1\) (Conjecture 5.1 in [loc. cit.]), which would yield an \(O(\sqrt{n})\) iteration full-Newton step infeasible interior-point algorithm. In this paper, we present an example showing that \(\bar{\kappa}(\zeta)\) is in the order of \(\sqrt{n}\), the same order as that proved in [loc. cit.]. In other words, the conjecture is false.

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Keywords

conjecture, Linear programming, Interior-point methods, linear optimization, full-step infeasible interior-point algorithm

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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