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https://doi.org/10.1007/bfb001...
Part of book or chapter of book . 1982 . Peer-reviewed
License: Springer TDM
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Properties of a notation for combining functions

Authors: Jean-Claude Raoult; Ravi Sethi;

Properties of a notation for combining functions

Abstract

A combinator called a pipe is proposed for combining functions in a linear order. Examples suggest that semantics rules using pipes are easy to read and understand, even for readers with little knowledge of semantics. The readability is a consequence of the operational intuition associated with pipes. The operational view is that each function connected by a pipe is handed a finite sequence of values. Each function takes zero or more arguments from the right end of the sequence, replaces the arguments by zero or more results, and passes the sequence to the next function. The new idea is that a function may skip over some number of values before picking up its arguments. This approach is suited to expressing the composition of operations on machine states in a programming language. Pipes allow continuation semantics to be written with direct operators: instead of the operator having to worry about its continuation, the second function in a pipe is essentially a continuation of the first. A connection is established between functions connected by pipes and more traditional continuation semantics.

Keywords

pipe, continuation semantics, General topics in the theory of software, combinator

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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!
7
Average
Top 10%
Average
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