Performance measurement and data base design
Alfonso P. Cardenas, Larry F. Bowman, et al.
ACM Annual Conference 1975
Many type inference and program analysis systems include notions of subtyping and parametric polymorphism. When used together, these two features induce equivalences that allow types to be simplified by eliminating quantified variables. Eliminating variables both improves the readability of types and the performance of algorithms whose complexity depends on the number of type variables. We present an algorithm for simplifying quantified types in the presence of subtyping and prove it is sound and complete for non-recursive and recursive types. We also show that an extension of the algorithm is sound but not complete for a type language with intersection and union types, as well as for a language of constrained types.
Alfonso P. Cardenas, Larry F. Bowman, et al.
ACM Annual Conference 1975
Kafai Lai, Alan E. Rosenbluth, et al.
SPIE Advanced Lithography 2007
Limin Hu
IEEE/ACM Transactions on Networking
Renu Tewari, Richard P. King, et al.
IS&T/SPIE Electronic Imaging 1996