Tree sort

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Efficiency

Big O notation Linked list Degenerate tree Self-balancing binary search tree Comparison sort

10 related topics

Example

Collection of comparable items Functional programming Haskell

3 related topics

Overview

Sort algorithm Binary search tree In-order Online Quicksort

5 related topics

Key facts & relationships

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Average performance: O(n log n)
Best-case performance: O(n log n) [citation needed]
Class: Sorting algorithm
Data structure: Array
Optimal: Yes, if balanced
Worst-case performance: O(n²) (unbalanced) O(n log n) (balanced)

Topics to explore

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Overview

Efficiency

Example

Collection of comparable items Total order
Functional programming
Haskell Haskell (programming language)

Advanced semantic analysis

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Map overview Semantic statistics

Nodes22

Edges21

Triples27

Avg. degree1.91

Density0.090909

Components1

How this topic connects Entity context

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Tree sort

Top relations

related to Efficiency · 8

Tree sort → Adding, Expected, However, On, The, This, Using, When

related to External links · 7

Tree sort → August, Binary Tree Java Applet, Explanation, January, Linked List, November, Wayback Machine

related to Example · 3

Tree sort → Haskell, In, The

Average performance · 1

Tree sort → O(n log n)

Best-case performance · 1

Tree sort → O(n log n) [citation needed]

Class · 1

Tree sort → Sorting algorithm

Data structure · 1

Tree sort → Array

Optimal · 1

Tree sort → Yes, if balanced

Worst-case performance · 1

Tree sort → O(n²) (unbalanced) O(n log n) (balanced)

Worst-case space complexity · 1

Tree sort → Θ(n)

Important terminology Word statistics

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

Important terminology

tree sort algorithm binary log sorted elements worst-case sorting search order used quicksort time worst case overhead performance n² complexity

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
Tree sort	Average performance	O(n log n)	1.00	infobox
Tree sort	Best-case performance	O(n log n) [citation needed]	1.00	infobox
Tree sort	Class	Sorting algorithm	1.00	infobox
Tree sort	Data structure	Array	1.00	infobox
Tree sort	Optimal	Yes, if balanced	1.00	infobox
Tree sort	Worst-case performance	O(n²) (unbalanced) O(n log n) (balanced)	1.00	infobox
Tree sort	Worst-case space complexity	Θ(n)	1.00	infobox
Tree sort	is a	sort algorithm that builds a binary search tree from the elements to be sorted	0.90	text
quicksort or heapsort	instance of	as opposed to in-place algorithms	0.80	text
Tree sort	related to Efficiency	Adding	0.60	section
Tree sort	related to Efficiency	When	0.60	section
Tree sort	related to Efficiency	This	0.60	section

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Connections between topic areas Semantic bridges

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Min side: 3