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Adaptive sort

A sorting algorithm falls into the adaptive sort family if it takes advantage of existing order in its input. It benefits from the presortedness in the input sequence – or a limited amount of disorder for various definitions of measures of disorder – and sorts faster. Adaptive sorting is usually performed by modifying existing sorting algorithms.

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Overview

Motivation

Examples

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Map overview Semantic statistics

Adaptive sort

Nodes21
Edges20
Triples37
Avg. degree1.9
Density0.095238
Components1

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Adaptive sort

Top relations

related to References · 30
Adaptive sort → Algorithm Theory, Alistair Moffat, Applications, Berlin, Berlin Heidelberg, Chapman, Computer Science, Data Structures, Dinesh, Hagerup, Hall/CRC, Heidelberg, ISBN, ISSN, Jyrki Katjainen, Lecture Notes, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Mehta
related to Motivation · 5
Adaptive sort → Adaptive, Comparison-based, In, This, Thus
related to Examples · 2
Adaptive sort → In, Pseudo-code

Important terminology Word statistics

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Important terminology

sorting input algorithm adaptive sort algorithms existing order sorted takes isbn disorder time insertion array pp advantage presortedness sequence faster

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Adaptive sortrelated to ExamplesIn0.60section
Adaptive sortrelated to ExamplesPseudo-code0.60section
Adaptive sortrelated to MotivationComparison-based0.60section
Adaptive sortrelated to MotivationAdaptive0.60section
Adaptive sortrelated to MotivationIn0.60section
Adaptive sortrelated to MotivationThis0.60section
Adaptive sortrelated to MotivationThus0.60section
Adaptive sortrelated to ReferencesLock-green0.60section
Adaptive sortrelated to ReferencesLock-gray-alt-20.60section
Adaptive sortrelated to ReferencesLock-red-alt-20.60section
Adaptive sortrelated to ReferencesWikisource-logo0.60section
Adaptive sortrelated to ReferencesHagerup0.60section

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    Min side: 3
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