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Finding Relations Among Linear Constraints

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Artificial Intelligence and Symbolic Computation (AISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4120))

Abstract

In program analysis and verification, there are some constraints that have to be processed repeatedly. A possible way to speed up the processing is to find some relations among these constraints first. This paper studies the problem of finding Boolean relations among a set of linear numerical constraints. The relations can be represented by rules. It is believed that we can not generate all the rules in polynomial-time. A search based algorithm with some heuristics to speed up the search process is proposed. All the techniques are implemented in a tool called MALL which can generate the rules automatically. Experimental results with various examples show that our method can generate enough rules in acceptable time. Our method can also handle other types of constraints if proper numeric solvers are available.

Supported in part by the National Science Foundation of China (grant No. 60125207 and 60421001).

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Yan, J., Zhang, J., Xu, Z. (2006). Finding Relations Among Linear Constraints. In: Calmet, J., Ida, T., Wang, D. (eds) Artificial Intelligence and Symbolic Computation. AISC 2006. Lecture Notes in Computer Science(), vol 4120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11856290_20

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  • DOI: https://doi.org/10.1007/11856290_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39728-1

  • Online ISBN: 978-3-540-39730-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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