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In computer science, A-normal form (abbreviated ANF, sometimes expanded as administrative normal form or as atomic normal form) is an intermediate representation of programs in functional programming language compilers. In ANF, all arguments to a function must be trivial (constants or variables). That is, evaluation of each argument must halt immediately.
The analysis highlights Science, Grammar and Overview as prominent areas in the source structure around A-normal form.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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anf compilers cps intermediate representation programs function form constants one language must also variables immediately continuation-passing style see arguments felleisen
TTTA extracted structured relationships around A-normal form. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
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The concept neighborhoods around A-normal form bring nearby vocabulary together. In this analysis, examples include Abbreviated, Administrative and Atomic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For A-normal form, one of the stronger structural bridges in this analysis connects A-normal form with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around A-normal form to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science, Grammar & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — A-normal form · EN edition · Analysis: TopicsToTalkAbout