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In computer programming, a recursive data type is a data type whose definition contains values of the same type. It is also known as a recursively defined, inductively defined or inductive data type. Data of recursive types are usually viewed as directed graphs.[citation needed]
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Explore the main themes, entities and connections around Recursive 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
type types recursive data list displaystyle mu alpha tree equirecursive two trees isorecursive definition defined example mutually also computer inductive
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Recursive data type | is a | data type whose definition contains values of the same type | 0.90 | text |
| Lists | instance of | An important application of recursion in computer science is in defining dynamic data structures | 0.80 | text |
| Trees | instance of | An important application of recursion in computer science is in defining dynamic data structures | 0.80 | text |
| type checking | instance of | Algorithmic problems | 0.80 | text |
| type inference are more difficult for equirecursive types as well | instance of | Algorithmic problems | 0.80 | text |
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.