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Abstract data types (Computer science) --- Abstract data types (Computer science).

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This book describes the use of qualified types to provide a general framework for the combination of polymorphism and overloading. For example, qualified types can be viewed as a generalization of type classes in the functional language Haskell and the theorem prover Isabelle. These in turn are extensions of equality types in Standard ML. Other applications of qualified types include extensible records and subtyping. Using a general formulation of qualified types, the author extends the Damas/Milner type inference algorithm to support qualified types, which in turn specifies the set of all possible types for any term. In addition, he describes a new technique for establishing suitable coherence conditions that guarantee the same semantics for all possible translations of a given term. Practical issues that arise in concrete implementations are also discussed, concentrating in particular on the implementation of overloading in Haskell and Gofer, a small functional programming system developed by the author.

Abstract data types (Computer science)

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Software engineering --- Abstract data types (Computer science)

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Abstract data types (Computer science) --- Congresses --- Abstract data types (Computer science) - Congresses.

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Abstract data types (Computer science) --- Congresses --- Abstract data types - Congresses.