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29

POPL
1991
ACM

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Polymorphic Type Inference and Assignment

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Polymorphic Type Inference and Assignment

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We present a new approach to the polymorphic typing of data accepting in-place modiﬁcation in ML-like languages. This approach is based on restrictions over type generalization, and a reﬁned typing of functions. The type system given here leads to a better integration of imperative programming style with the purely applicative kernel of ML. In particular, generic functions that allocate mutable data can safely be given fully polymorphic types. We show the soundness of this type system, and give a type reconstruction algorithm.

Xavier Leroy, Pierre Weis

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Polymorphic Typing | POPL 1991 | Programming Languages | Type Generalization | Type System |

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Added	27 Aug 2010
Updated	27 Aug 2010
Type	Conference
Year	1991
Where	POPL
Authors	Xavier Leroy, Pierre Weis

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