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LPAR
2005
Springer

Matching with Regular Constraints

13 years 10 months ago
Matching with Regular Constraints
We describe a sound, terminating, and complete matching algorithm for terms built over flexible arity function symbols and context, function, sequence, and individual variables. Context and sequence variables allow matching to move in term trees to arbitrary depth and breadth, respectively. The values of variables can be constrained by regular expressions which are not necessarily linear. We describe heuristics for optimization, and discuss applications.
Temur Kutsia, Mircea Marin
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where LPAR
Authors Temur Kutsia, Mircea Marin
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