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MiniZinc with Strings

Strings are extensively used in modern programming languages and constraints over strings of unknown length occur in a wide range of real-world applications such as software analysis and verification, testing, model checking, and web security. Nevertheless, practically no CP solver natively supports string constraints. We introduce string variables and a suitable set of string constraints as builtin features of the MiniZinc modelling language. Furthermore, we define an interpreter for converting a MiniZinc model with strings into a FlatZinc instance relying on only integer variables. This provides a user-friendly interface for modelling combinatorial problems with strings, and enables both string and non-string solvers to actually solve such problems.

preprint2016arXivOpen access
Roberto AmadiniPierre FlenerJustin PearsonJoseph D. ScottPeter J. StuckeyGuido Tack
Programming Languages
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Open access6 authors1 topic
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Roberto AmadiniPierre FlenerJustin PearsonJoseph D. ScottPeter J. StuckeyGuido Tack

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