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Bidirectional map

In computer science, a bidirectional map is an associative data structure in which the ( k e y , v a l u e ) {\displaystyle (key,value)} pairs form a one-to-one correspondence. Thus the binary relation is functional in each direction: each v a l u e {\displaystyle value} can also be mapped to a unique k e y {\displaystyle key} . A pair ( a , b )…

Science & Overview

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Explore the main themes, entities and connections around Bidirectional map. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Topics to explore

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Overview

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

Bidirectional map

Nodes10
Edges9
Triples6
Avg. degree1.8
Density0.2
Components1

How this topic connects Entity context

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Bidirectional map

Top relations

related to External links · 5
Bidirectional map → BidirectionalDictionary, Boost, Codeproject, Google Guava, Python
is a · 1
Bidirectional map → associative data structure in which the

Important terminology Word statistics

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

Important terminology

displaystyle key thus bidirectional map value unique functional bijection cardinality injective surjective computer science associative data structure pairs form one-to-one

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Bidirectional mapis aassociative data structure in which the0.90text
Bidirectional maprelated to External linksBoost0.60section
Bidirectional maprelated to External linksCodeproject0.60section
Bidirectional maprelated to External linksGoogle Guava0.60section
Bidirectional maprelated to External linksPython0.60section
Bidirectional maprelated to External linksBidirectionalDictionary0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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