z-logo
open-access-imgOpen Access
The Mechanical Transformation of Data Types
Author(s) -
Peter G. Harrison,
Hessam Khoshnevisan
Publication year - 1992
Publication title -
the computer journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 64
eISSN - 1460-2067
pISSN - 0010-4620
DOI - 10.1093/comjnl/35.2.138
Subject(s) - axiom , abstraction , transformation (genetics) , combinatory logic , computer science , data type , function (biology) , algebra over a field , abstract data type , basis (linear algebra) , type (biology) , theoretical computer science , mathematics , programming language , pure mathematics , gene , ecology , philosophy , biochemistry , chemistry , geometry , epistemology , evolutionary biology , biology
The efficient implementation of abstract data types and all functions that manipulate them would permit applicationoriented solutions to be developed without having to take undue account of executional properties. The synthesis of efficient concrete types and functions forms the basis of the present paper, which appeals to a theory of inverse functions for additional axioms to augment those of a first-order functional algebra. These axioms are then applied in the simplification of the combinator-expressions arising in the synthesis of the functions between the concrete types. We also show how the abstraction function itself may be deduced in certain situations where it is required to optimise particular operations on an abstract type. In addition to possessing rigorous mathematical foundations, the functionlevel axioms are more generally applicable than previous approaches to this problem, and induce a more mechanisable rewrite-based transformation system.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom