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AVL tree

In computer science, an AVL tree (named after inventors Adelson-Velsky and Landis) is a self-balancing binary search tree. In an AVL tree, the heights of the two child subtrees of any node differ by not more than one; if at any time they differ by more than one, rebalancing is done to restore this property. Lookup, insertion, and deletion all take O(log…

Science, Operations & Comparison to other structures

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

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Operations

13 related topics

Comparison to other structures

5 related topics

Definition

3 related topics

Rebalancing

1 related topics

Key facts & relationships

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

Invented
1962
Invented by
Georgy Adelson-Velsky and Evgenii Landis
Space complexity
Space complexitySpace O ( n ) {\displaystyle {\text{O}}(n)} Time complexityFunction Amortized Worst caseSearch O ( log ⁡ n ) {\displaystyle {\text{O}}(\log n)} O ( log ⁡ n ) {\…
Type
Tree

Topics to explore

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Overview

Definition

Operations

Rebalancing

Comparison to other structures

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

AVL tree

Nodes38
Edges37
Triples63
Avg. degree1.95
Density0.052632
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

AVL tree

Top relations

related to Set operations and bulk operations · 13
AVL tree → At, AVL, If, In, It, Join, Otherwise, Split, The, Then, These, This, With
related to Insert · 9
AVL tree → After, AVL, Binary Search Tree, If, In, NULL, So, This, When
related to Comparison to other structures · 7
AVL tree → AVL, Both AVL, For, In, Indeed, RB, The
related to External links · 7
AVL tree → Algorithms, Black, Data Structures, Dictionary, NIST, Paul, This
related to Delete · 6
AVL tree → AVL, Binary, Starting, The, There, This
related to Traversal · 6
AVL tree → As, AVL, Exploring, Once, Since, Some
related to Properties · 4
AVL tree → AVL, Balance, For, The
related to Searching · 4
AVL tree → AVL, In, Searching, The
related to Operations · 2
AVL tree → AVL, Read-only
Invented · 1
AVL tree → 1962

Important terminology Word statistics

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

Important terminology

avl tree height balance node trees subtree factor two one log rotation displaystyle child nodes left right case figure search

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
AVL treeInvented19621.00infobox
AVL treeInvented byGeorgy Adelson-Velsky and Evgenii Landis1.00infobox
AVL treeSpace complexitySpace complexitySpace O ( n ) {\displaystyle {\text{O}}(n)} Time complexityFunction Amortized Worst caseSearch O ( log ⁡ n ) {\displaystyle {\text{O}}(\log n)} O ( log ⁡ n ) {\…1.00infobox
AVL treeTypeTree1.00infobox
AVL treerelated to Comparison to other structuresBoth AVL0.60section
AVL treerelated to Comparison to other structuresRB0.60section
AVL treerelated to Comparison to other structuresIndeed0.60section
AVL treerelated to Comparison to other structuresAVL0.60section
AVL treerelated to Comparison to other structuresFor0.60section
AVL treerelated to Comparison to other structuresIn0.60section
AVL treerelated to Comparison to other structuresThe0.60section
AVL treerelated to DeleteThe0.60section

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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