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Border basis detection is NP-complete

Ananth, Prabhanjan Vijendra and Dukkipati, Ambedkar (2011) Border basis detection is NP-complete. In: ISSAC '11 Proceedings of the 36th international symposium on Symbolic and algebraic computation, 2011, New York, NY, USA.

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Official URL: http://dx.doi.org/10.1145/1993886.1993895

Abstract

Border basis detection (BBD) is described as follows: given a set of generators of an ideal, decide whether that set of generators is a border basis of the ideal with respect to some order ideal. The motivation for this problem comes from a similar problem related to Grobner bases termed as Grobner basis detection (GBD) which was proposed by Gritzmann and Sturmfels (1993). GBD was shown to be NP-hard by Sturmfels and Wiegelmann (1996). In this paper, we investigate the computational complexity of BBD and show that it is NP-complete.

Item Type: Conference Proceedings
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Additional Information: Copyright of this article belongs to Association for Computing Machinery.
Keywords: Border Bases; Zero-Dimensional Ideals; Complexity; NP-Completeness
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 09 Mar 2013 10:46
Last Modified: 09 Mar 2013 10:46
URI: http://eprints.iisc.ernet.in/id/eprint/46022

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