Precise Widening Operators for Convex Polyhedra
Author(s) -
Roberto Bagnara,
Patricia M. Hill,
Elisa Ricci,
Enea Zaffanella
Publication year - 2003
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/3-540-44898-5_19
Subject(s) - polyhedron , heuristics , computer science , operator (biology) , regular polygon , domain (mathematical analysis) , task (project management) , computation , theoretical computer science , algorithm , mathematics , combinatorics , mathematical analysis , biochemistry , chemistry , geometry , management , repressor , transcription factor , economics , gene , operating system
Convex polyhedra constitute the most used abstract domain among those capturing numerical relational information. Since the domain of convex polyhedra admits infinite ascending chains, it has to be used in conjunction with appropriate mechanisms for enforcing and accelerating convergence of the fixpoint computation.Wi dening operators provide a simple and general characterization for such mechanisms. For the domain of convex polyhedra, the original widening operator proposed by Cousot and Halbwachs amply deserves the name of standard widening since most analysis and verification tools that employ convex polyhedra also employ that operator. Nonetheless, there is an unfulfilled demand for more precise widening operators. In this paper, after a formal introduction to the standard widening where we clarify some aspects that are often overlooked, we embark on the challenging task of improving on it. We present a framework for the systematic definition of new and precise widening operators for convex polyhedra. The framework is then instantiated so as to obtain a new widening operator that combines several heuristics and uses the standard widening as a last resort so that it is never less precise. A preliminary experimental evaluation has yielded promising results.
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