Howe, Jacob M. and King, Andy (2012) Polyhedral Analysis using Parametric Objectives. In: Min'e, Antoine and Schmidt, David A., eds. Static Analysis Symposium. Lecture Notes in Computer Science, 7460 . Springer, pp. 41-57. ISBN 978-3-642-33124-4. (KAR id:30793)
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Official URL: http://www.cs.kent.ac.uk/pubs/2012/3223 |
Abstract
The abstract domain of polyhedra lies at the heart of many program analysis techniques. However, its operations can be expensive, precluding their application to polyhedra that involve many variables. This paper describes a new approach to computing polyhedral domain operations. The core of this approach is an algorithm to calculate variable elimination (projection) based on parametric linear programming. The algorithm enumerates only non-redundant inequalities of the projection space, hence permits anytime approximation of the output.
Item Type: | Book section |
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Additional information: | ARCoSS subline |
Uncontrolled keywords: | abstract interpretation, linear constraints, projection |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Andy King |
Date Deposited: | 21 Sep 2012 09:49 UTC |
Last Modified: | 16 Nov 2021 10:08 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/30793 (The current URI for this page, for reference purposes) |
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