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A unified-algebra-based specification language for symbolic computing

Authors: Jacques Calmet; Indra A. Tjandra;

A unified-algebra-based specification language for symbolic computing

Abstract

A precise and perspicuous specification of mathematical domains of computation and their inherently related type inference mechanisms is a prerequisite for the design and systematic development of a system for symbolic computing. This paper describes Formal, a language for giving modular and well-structured specifications of such domains and particularly of “mathematical objects”. A novel framework for algebraic specification involving so-called “unified algebras” has been adopted, where sorts are treated as values. The adoption of this framework aims also at being capable of specifying polymorphism, unifying the notions of “parametric” and “inclusion” polymorphisms. Furthermore, the operational nature of the specification formalisms allows a straightforward transformation into an executable form.

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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
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