Elsevier

Theoretical Computer Science

Volume 478, 25 March 2013, Pages 127-131
Theoretical Computer Science

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Inapproximability results for the minimum integral solution problem with preprocessing over norm

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Abstract

The Minimum Integral Solution Problem with preprocessing has been introduced by Alekhnovich, Khot, Kindler, and Vishnoi [M. Alekhnovich, S. Khot, G. Kindler, N. Vishnoi, Hardness of approximating the closest vector problem with preprocessing, in: Proc. 46th IEEE Symposium on FOCS, 2005, pp. 216–225]. They studied the complexity of Minimum Integral Solution Problem with preprocessing over p norm (1p<). They leave an open problem about the complexity of the Minimum Integral Solution Problem with preprocessing over norm. In this paper, we settle the problem. We show that the Minimum Integral Solution Problem with preprocessing over norm (MISPP) is NP-hard to approximate to within a factor of 2ϵ for any ϵ>0, unless P=NP.

Keywords

Minimum integral solution problem
Computational complexity
NP-hardness
PCP

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