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In computer programming, especially in functional programming and type theory, an algebraic data type (ADT) is a composite data type, i.e. a type formed by combining other types.
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Explore the main themes, entities and connections around Algebraic data type. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
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Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Algebraic data type | is a | singly linked list | 0.90 | text |
| Algebraic data type | is a | possibly recursive sum type of product types | 0.90 | text |
| Algebraic data type | related to Abstract syntax | Algebraic | 0.60 | section |
| Algebraic data type | related to Abstract syntax | For | 0.60 | section |
| Algebraic data type | related to Abstract syntax | An | 0.60 | section |
| Algebraic data type | related to Abstract syntax | Add | 0.60 | section |
| Algebraic data type | related to Abstract syntax | Number | 0.60 | section |
| Algebraic data type | related to Abstract syntax | Minus | 0.60 | section |
| Algebraic data type | related to history | Algebraic | 0.60 | section |
| Algebraic data type | related to history | Hope | 0.60 | section |
| Algebraic data type | related to history | University | 0.60 | section |
| Algebraic data type | related to history | Edinburgh | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.