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A lisp-language Mathematica-to-lisp translator

Authors: Richard J. Fateman;

A lisp-language Mathematica-to-lisp translator

Abstract

Wide distribution of the computer algebra system Mathematica has encouraged numerous programmers, researchers and educators to produce libraries of programs in its special language, for incorporation as "packages" into Mathematica systems. Although some features of the language are quite interesting, some authors have found that for their purposes the Mathematica proprietary computer program has problematical and difficult-to-alter semantics. Therefore certain kinds of experiments and developments are necessarily inconvenient. An initial step in opening up such user-written libraries to re-use is an independent re-implementation of the language via a non-proprietary parser. In principle, this allows other implementations of semantics, as well as experiments in data representation, while still using the language basically as described in the Mathematica references. We describe a parser written in Common Lisp, a language which is appropriate for three reasons: (1) It is a standard and has wide distribution; (2) It supports numerous useful features including automatic storage allocation and garbage collection, arbitrary-precision integers, and tools for lexical scanning of languages; and (3) Lisp is the host language for several algebraic manipulation systems whose subroutines may be of some interest for programmers implementing alternative semantics.

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citations
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!
5
Average
Top 10%
Average
bronze
Beta
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