Counting sort

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History

Harold H. Seward

1 related topics

Input and output assumptions

Collection Array Stable sort

3 related topics

Variant algorithms

Bit vector Parallelized In-place algorithm

3 related topics

Pseudocode

Histogram Prefix sum

2 related topics

Key facts & relationships

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Class: Sorting Algorithm
Data structure: Array
Worst-case performance: O ( n + k ) {\displaystyle O(n+k)} , where k is the range of the non-negative key values.
Worst-case space complexity: O ( n + k ) {\displaystyle O(n+k)}

Topics to explore

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Overview

Input and output assumptions

Collection Collection (abstract data type)
Array Array data structure
Stable sort

Pseudocode

Variant algorithms

History

Harold H. Seward

Advanced semantic analysis

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Map overview Semantic statistics

Nodes26

Edges25

Triples34

Avg. degree1.92

Density0.076923

Components1

How this topic connects Entity context

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Counting sort

Top relations

related to External links · 12

Counting sort → Algorithms, Art, Black, Cardiff University Archived, Data Structures, Dictionary, June, National Institute, Paul, Standards, Technology, Wayback MachineKagel

related to Complexity analysis · 5

Counting sort → Because, Count, For, The, Therefore

related to history · 3

Counting sort → Although, Harold, Seward

related to Input and output assumptions · 3

Counting sort → For, However, In

related to Variant algorithms · 3

Counting sort → If, This, Thus

Class · 1

Counting sort → Sorting Algorithm

Data structure · 1

Counting sort → Array

Worst-case performance · 1

Counting sort → O ( n + k ) {\displaystyle O(n+k)} , where k is the range of the non-negative key values.

Worst-case space complexity · 1

Counting sort → O ( n + k ) {\displaystyle O(n+k)}

is a · 1

Counting sort → algorithm for sorting a collection of objects according to keys that are small positive integers

Important terminology Word statistics

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Important terminology

sort counting key algorithm array items keys input output sorting value used number maximum values sorted loop radix count time

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
Counting sort	Class	Sorting Algorithm	1.00	infobox
Counting sort	Data structure	Array	1.00	infobox
Counting sort	Worst-case performance	O ( n + k ) {\displaystyle O(n+k)} , where k is the range of the non-negative key values.	1.00	infobox
Counting sort	Worst-case space complexity	O ( n + k ) {\displaystyle O(n+k)}	1.00	infobox
Counting sort	is a	algorithm for sorting a collection of objects according to keys that are small positive integers	0.90	text
in radix sort	instance of	separated from the items.In applications	0.80	text
a bound on the maximum key value k will be known in advance	instance of	separated from the items.In applications	0.80	text
and can be assumed to be part of the input to the algorithm	instance of	separated from the items.In applications	0.80	text
Counting sort	related to Complexity analysis	Because	0.60	section
Counting sort	related to Complexity analysis	The	0.60	section
Counting sort	related to Complexity analysis	Therefore	0.60	section
Counting sort	related to Complexity analysis	For	0.60	section

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