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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/7050
Title: On the Complexity of ML Typability with Overloading
Authors: Volpano, Dennis M.
Smith, Geoffrey S.
Keywords: computer science
technical report
Issue Date: May-1991
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR91-1210
Abstract: We examine the complexity of type checking in an ML-style type system that permits functions to be overloaded with different types. In particular, we consider the extension of the ML Type system proposed by Wadler and Blott in the appendix of [WB89], with global overloading only, that is, where the only overloading is that which exists in an initial type assumption set; no local overloading via over and inst expressions is allowed. It is shown that under a correct notion of well-typed terms, the problem of determining whether a term is well typed with respect to an assumption set in this system is undecidable. We then investigate limiting recursion in assumption sets, the source of the undecidability. Barring mutual recursion is considered, but this proves too weak, for the problem remains undecidable. Then we consider a limited form of recursion called parametric recursion. We show that although the problem becomes decidable under parametric recursion, it appears harder than conventional ML typability, which is complete for DEXPTIME [Mai90].
URI: http://hdl.handle.net/1813/7050
Appears in Collections:Computer Science Technical Reports

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