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Queue (abstract data type)

In computer science, a queue is an abstract data type that serves as an ordered collection of entities. By convention, the end of the queue where elements are added is called the back, tail, or rear of the queue. The end of the queue where elements are removed is called the head or front of the queue. The name queue is an analogy to the words used to…

Science, Queue implementation & Purely functional implementation

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Explore the main themes, entities and connections around Queue (abstract data type). Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Delete
O ( 1 ) {\displaystyle O(1)}
Insert
O ( 1 ) {\displaystyle O(1)}
Operation
Average
Search
O ( n ) {\displaystyle O(n)}
Space
O ( n ) {\displaystyle O(n)}
Time complexity in big O notation
Time complexity in big O notationOperation Average Worst caseSearch O ( n ) {\displaystyle O(n)} O ( n ) {\displaystyle O(n)} Insert O ( 1 ) {\displaystyle O(1)} O ( 1 ) {\displ…

Topics to explore

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Overview

Queue implementation

Purely functional implementation

General references

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Queue (abstract data type)

Nodes40
Edges39
Triples11
Avg. degree1.95
Density0.05
Components1

How this topic connects Entity context

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Queue (abstract data type)

Top relations

Delete · 1
Queue (abstract data type) → O ( 1 ) {\displaystyle O(1)}
Insert · 1
Queue (abstract data type) → O ( 1 ) {\displaystyle O(1)}
Operation · 1
Queue (abstract data type) → Average
Search · 1
Queue (abstract data type) → O ( n ) {\displaystyle O(n)}
Space · 1
Queue (abstract data type) → O ( n ) {\displaystyle O(n)}
Time complexity in big O notation · 1
Queue (abstract data type) → Time complexity in big O notationOperation Average Worst caseSearch O ( n ) {\displaystyle O(n)} O ( n ) {\displaystyle O(n)} Insert O ( 1 ) {\displaystyle O(1)} O ( 1 ) {\displ…

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

queue displaystyle data list operations time queues element one elements front structure empty implementation first texttt head rear added array

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Queue (abstract data type)DeleteO ( 1 ) {\displaystyle O(1)}1.00infobox
Queue (abstract data type)InsertO ( 1 ) {\displaystyle O(1)}1.00infobox
Queue (abstract data type)OperationAverage1.00infobox
Queue (abstract data type)SearchO ( n ) {\displaystyle O(n)}1.00infobox
Queue (abstract data type)SpaceO ( n ) {\displaystyle O(n)}1.00infobox
Queue (abstract data type)Time complexity in big O notationTime complexity in big O notationOperation Average Worst caseSearch O ( n ) {\displaystyle O(n)} O ( n ) {\displaystyle O(n)} Insert O ( 1 ) {\displaystyle O(1)} O ( 1 ) {\displ…1.00infobox
datainstance ofand operations research where various entities0.80text
objectsinstance ofand operations research where various entities0.80text
personsinstance ofand operations research where various entities0.80text
or events are storedinstance ofand operations research where various entities0.80text
held to be processed laterinstance ofand operations research where various entities0.80text

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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    Min side: 3
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