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Odd–even sort: Standards, Algorithm & Sorting on processor arrays

In computing, an odd–even sort or odd–even transposition sort (also known as brick sort[self-published source] or parity sort) is a relatively simple sorting algorithm, developed originally for use on parallel processors with local interconnections. It is a comparison sort related to bubble sort, with which it shares many characteristics. It functions by…

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Odd–even sort topic overview

The analysis highlights Standards, Algorithm and Sorting on processor arrays as prominent areas in the source structure around Odd–even sort.

Related topics
7
Source areas
4
Connected nodes
11
Extracted relationships
7
Related term clusters
9
Bridge connections
11

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 3 topics
Algorithm · 2 topics
Batcher's odd–even mergesort · 1 topics
Sorting on processor arrays · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

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

Best-case performance
O ( n ) {\displaystyle O(n)}
Class
Sorting algorithm
Data structure
Array
Worst-case performance
O ( n 2 ) {\displaystyle O(n^{2})}
Worst-case space complexity
O ( 1 ) {\displaystyle O(1)}

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Odd–even sort
3Sorting algorithm · Comparison sort · Bubble sort
4Nico Habermann · Batcher odd–even mergesort · Bubblesort

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Sorting on processor arrays

Batcher's odd–even mergesort

Algorithm

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Odd–even sort connects Entity context

The extracted context around Odd–even sort shows recurring relationship patterns in the source. For example, Odd–even sort → Claim, Proof Another extracted example is Odd–even sort → O ( n ) {\displaystyle O(n)}. Use these groups to spot repeated connection types before inspecting the individual relationships.

Odd–even sort

Top relations

related to Proof of correctness · 2
Odd–even sort → Claim, Proof
Best-case performance · 1
Odd–even sort → O ( n ) {\displaystyle O(n)}
Class · 1
Odd–even sort → Sorting algorithm
Data structure · 1
Odd–even sort → Array
Worst-case performance · 1
Odd–even sort → O ( n 2 ) {\displaystyle O(n^{2})}
Worst-case space complexity · 1
Odd–even sort → O ( 1 ) {\displaystyle O(1)}

Important terminology

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

Important terminology

odd even displaystyle algorithm passes rightmost sort position moved list sorting n-e transposition right efficient pass processors steps processor data

Odd–even sort relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around Odd–even sort. Examples in this analysis include Odd–even sort → Best-case performance → O ( n ) {\displaystyle O(n)} and Odd–even sort → Class → Sorting algorithm. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Odd–even sortBest-case performanceO ( n ) {\displaystyle O(n)}1.00infobox
Odd–even sortClassSorting algorithm1.00infobox
Odd–even sortData structureArray1.00infobox
Odd–even sortWorst-case performanceO ( n 2 ) {\displaystyle O(n^{2})}1.00infobox
Odd–even sortWorst-case space complexityO ( 1 ) {\displaystyle O(1)}1.00infobox
Odd–even sortrelated to Proof of correctnessClaim0.60section
Odd–even sortrelated to Proof of correctnessProof0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Odd–even sort bring nearby vocabulary together. In this analysis, examples include Odd, Sort and Algorithm. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Odd–even sort
    • Odd
    • Sort
    • Algorithm
    • Transposition
    • List
    • Pass
    • Related
    • Processor
    • Sorting
    • Adjacent
    • Elements
    • Indexed
  • sorting algorithm
    • Transposition
    • Sort
    • Processor
    • Sorting
    • Even
    • Odd
    • Data
    • Efficient
    • List
    • Processors
    • Displaystyle
    • Local
  • algorithm
    • Sort
    • Processor
    • Sorting
    • Transposition
    • Even
    • Odd
    • Efficient
    • Data
    • Processors
    • Displaystyle
    • Local
    • Originally
  • odd–even sort
    • Odd
    • Transposition
    • Sort
    • Processor
    • Sorting
    • Algorithm
    • List
    • Pass
    • Related
    • Parallel
    • Data
    • Processors
  • batcher odd–even mergesort
    • Odd
    • Sort
    • Algorithm
    • Transposition
    • List
    • Pass
    • Processor
    • Sorting
    • Adjacent
    • Elements
    • Indexed
    • Local
  • batcher's odd–even mergesort
    • Odd
    • Sort
    • Algorithm
    • Transposition
    • List
    • Pass
    • Processor
    • Sorting
    • Adjacent
    • Elements
    • Indexed
    • Local
  • comparison sort
    • Transposition
    • Processor
    • Sorting
    • Related
    • Parallel
    • Data
    • Processors
    • Efficient
    • List
    • Originally
    • Simple
    • Displaystyle
  • bubble sort
    • Transposition
    • Processor
    • Sorting
    • Related
    • Parallel
    • Data
    • Processors
    • Efficient
    • List
    • Originally
    • Simple
    • Displaystyle

Connections between topic areas Semantic bridges

For Odd–even sort, one of the stronger structural bridges in this analysis connects Odd–even sort with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Odd–even sort — Overview · splits 8 ⟂ 4
Odd–even sort — Algorithm · splits 9 ⟂ 3

Map overview Semantic statistics

Odd–even sort

Nodes12
Edges11
Triples7
Avg. degree1.83
Density0.166667
Components1

Source & methodology

TTTA analyzes the structure around Odd–even sort to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, Algorithm & Sorting on processor arrays, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Odd–even sort · EN edition · Analysis: TopicsToTalkAbout

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