Two variables per linear inequality as an abstract domain

Simon, A., King, A. & Howe, J. M. (2003). Two variables per linear inequality as an abstract domain. Logic based program synthesis and transformation, 2664, pp. 71-89. doi: 10.1007/3-540-45013-0_7

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Abstract

This paper explores the spatial domain of sets of inequalities where each inequality contains at most two variables — a domain that is richer than intervals and more tractable than general polyhedra. We present a complete suite of efficient domain operations for linear systems with two variables per inequality with unrestricted coefficients. We exploit a tactic in which a system of inequalities with at most two variables per inequality is decomposed into a series of projections — one for each two dimensional plane. The decomposition enables all domain operations required for abstract interpretation to be expressed in terms of the two dimensional case. The resulting operations are efficient and include a novel planar convex hull algorithm. Empirical evidence suggests that widening can be applied effectively, ensuring tractability.

Item Type: Article
Additional Information: The original publication is available at www.springerlink.com
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Informatics > Department of Computing
URI: http://openaccess.city.ac.uk/id/eprint/1709

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