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    Structuring Documents Efficiently
    MARSHALL, RGJ ; BIRD, SG ; STUCKEY, PJ (University of Sydney, 2005)
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    Principal type inference for GHC-style multi-parameter type classes
    Sulzmann, M ; Schrijvers, T ; Stuckey, PJ ; Kobayashi, N (SPRINGER-VERLAG BERLIN, 2006)
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    Optimizing compilation of CHR with rule priorities
    De Koninck, L ; Stuckey, PJ ; Duck, GJ ; Garrigue, J ; Hermenegildo, M (Springer, 2008-05-14)
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    Observable confluence for constraint handling rules
    Duck, GJ ; Stuckey, PJ ; Sulzmann, M ; Dahl, V ; Niemela, I (SPRINGER-VERLAG BERLIN, 2007)
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    Discovery of minimal unsatisfiable subsets of constraints using hitting set dualization
    Bailey, J ; Stuckey, PJ ; Hermenegildo, M ; Cabeza, D (SPRINGER-VERLAG BERLIN, 2005)
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    Propagating Dense Systems of Integer Linear Equations
    Feydy, T ; Stuckey, PJ (ASSOC COMPUTING MACHINERY, 2007)
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    A theory of overloading
    Stuckey, PJ ; Sulzmann, M (ASSOC COMPUTING MACHINERY, 2005-11)
    We present a novel approach to allow for overloading of identifiers in the spirit of type classes. Our approach relies on a combination of the HM(X) type system framework with Constraint Handling Rules (CHRs). CHRs are a declarative language for writing incremental constraint solvers, that provide our scheme with a form of programmable type language. CHRs allow us to precisely describe the relationships among overloaded identifiers. Under some sufficient conditions on the CHRs we achieve decidable type inference and the semantic meaning of programs is unambiguous. Our approach provides a common formal basis for many type class extensions such as multiparameter type classes and functional dependencies.
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    Smooth Linear Approximation of Non-overlap Constraints
    Gange, G ; Marriott, K ; Stuckey, PJ ; Stapleton, G ; Howse, J ; Lee, J (SPRINGER-VERLAG BERLIN, 2008)
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    A framework for extended algebraic data types
    Sulzmann, M ; Wazny, J ; Stuckey, PJ ; Hagiya, M ; Wadler, P (SPRINGER, 2006)
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    Solving partial order constraints for LPO termination
    Codish, M ; Lagoon, V ; Stuckey, PJ ; Pfenning, F (SPRINGER-VERLAG BERLIN, 2006)
    This paper introduces a new kind of propositional encoding for reasoning about partial orders. The symbols in an unspecified partial order are viewed as variables which take integer values and are interpreted as indices in the order. For a partial order statement on n symbols each index is represented in log2 n propositional variables and partial order constraints between symbols are modeled on the bit representations. We illustrate the application of our approach to determine LPO termination for term rewrite systems. Experimental results are unequivocal, indicating orders of magnitude speedups in comparison with current implementations for LPO termination. The proposed encoding is general and relevant to other applications which involve propositional reasoning about partial orders.