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In-place algorithm

In computer science, an in-place algorithm is an algorithm that operates directly on the input data structure without requiring extra space proportional to the input size. In other words, it modifies the input in place, without creating a separate copy of the data structure. An algorithm which is not in-place is sometimes called not-in-place or out-of-place.

Science, Examples & In computational complexity

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Examples

In computational complexity

Role of randomness

In functional programming

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In-place algorithm

Nodes39
Edges38
Triples27
Avg. degree1.95
Density0.051282
Components1

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In-place algorithm

Top relations

related to Role of randomness · 7
In-place algorithm → For, However, In, Miller, Pollard's, Rabin, Similarly
related to Examples · 5
In-place algorithm → Also, Given, One, Since, Unfortunately
related to In computational complexity · 4
In-place algorithm → Algorithms, DSPACE, In, This
related to In functional programming · 3
In-place algorithm → Functional, However, Note
is a · 1
In-place algorithm → algorithm that operates directly on the input data structure without requiring extra space proportional to the input size

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Important terminology

space in-place algorithm algorithms pointers log extra complexity input output array data may also quicksort however usually lengths requires often

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
In-place algorithmis aalgorithm that operates directly on the input data structure without requiring extra space proportional to the input size0.90text
log-space reductionsinstance ofIn theoretical applications0.80text
it is more typical to always ignore output spaceinstance ofIn theoretical applications0.80text
triminstance ofconstant-sized result.Some text manipulation algorithms0.80text
reverse may be done in-placeinstance ofconstant-sized result.Some text manipulation algorithms0.80text
depth-first searchinstance ofextra space using typical algorithms0.80text
determining if a graph is bipartite or testing whether two graphs have the same number of connected componentsinstance ofThis in turn yields in-place algorithms for problems0.80text
the Millerinstance ofthere are simple randomized in-place algorithms for primality testing0.80text
In-place algorithmrelated to ExamplesGiven0.60section
In-place algorithmrelated to ExamplesOne0.60section
In-place algorithmrelated to ExamplesUnfortunately0.60section
In-place algorithmrelated to ExamplesAlso0.60section

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