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Conjure: Automatic Generation of Constraint Models from Problem Specifications (Extended Abstract).

, , , , , and . IJCAI, page 6833-6838. ijcai.org, (2023)

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Automatically Improving SAT Encoding of Constraint Problems Through Common Subexpression Elimination in Savile Row., , and . CP, volume 9255 of Lecture Notes in Computer Science, page 330-340. Springer, (2015)Towards a Model of Puzznic., , , , , and . CoRR, (2023)Generalised arc consistency for the AllDifferent constraint: An empirical survey., , and . Artif. Intell., 172 (18): 1973-2000 (2008)Conjure: Automatic Generation of Constraint Models from Problem Specifications (Extended Abstract)., , , , , and . IJCAI, page 6833-6838. ijcai.org, (2023)Establishing Timing Requirements and Control Attributes for Control Loops in Real-Time Systems., , and . ECRTS, page 121-. IEEE Computer Society, (2003)Encoding Quantified CSPs as Quantified Boolean Formulae., , and . ECAI, page 176-180. IOS Press, (2004)Modelling Equidistant Frequency Permutation Arrays: An Application of Constraints to Mathematics., , , and . CP, volume 5732 of Lecture Notes in Computer Science, page 50-64. Springer, (2009)How People Visually Represent Discrete Constraint Problems., , , and . IEEE Trans. Vis. Comput. Graph., 26 (8): 2603-2619 (2020)Generalized support and formal development of constraint propagators., , and . AI Commun., 30 (5): 325-346 (2017)S-Crucial and Bicrucial Permutations with Respect to Squares., , , , and . J. Integer Seq., 18 (6): 15.6.5 (2015)