spaceComplexity

P55525
predicate

Indicates the relationship between an algorithm and the amount of memory it requires as a function of input size.

All labels observed (8)

Label Occurrences
spaceComplexity canonical 21
spaceComplexityWorstCase 2
hasSpaceComplexity 1

Description generation (PDg)

The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.

Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning.  
# Instructions
Focus on describing the relationship, not the entities themselves. 
# Response Format
Begin the description with \' Indicates...\'
Input
Predicate: spaceComplexity
Generated description
Indicates the relationship between an algorithm and the amount of memory it requires as a function of input size.

Sample triples (29)

Subject Object
Knuth–Morris–Pratt algorithm O(m) ⓘ
Quicksort O(log n) via predicate surface "spaceComplexityAverageCase" ⓘ
Quicksort O(n) via predicate surface "spaceComplexityWorstCase" ⓘ
Thompson's algorithm for regular expression matching O(m) for NFA simulation ⓘ
Viterbi algorithm O(N T) ⓘ
Viterbi algorithm O(S T) ⓘ
union–find data structure O(n) ⓘ
Tarjan's strongly connected components algorithm O(V) ⓘ
Fibonacci search O(1) ⓘ
Boyer–Moore string-search algorithm O(σ + m) via predicate surface "hasSpaceComplexity" ⓘ
Bidiagonal matrix
linked to: Bidiagonal
O(n) via predicate surface "hasStorageComplexity" ⓘ
Rabin–Karp algorithm O(1) ⓘ
Lomuto partition scheme O(1) auxiliary space ⓘ
Merge sort O(n) via predicate surface "spaceComplexityTypical" ⓘ
Merge sort O(1) via predicate surface "spaceComplexityInPlaceVariants" ⓘ
Heapsort O(1) via predicate surface "spaceComplexityAuxiliary" ⓘ
Insertion sort O(1) via predicate surface "spaceComplexityWorstCase" ⓘ
Hoare partition scheme O(1) ⓘ
Gale–Shapley algorithm O(n^2) ⓘ
Aho–Corasick algorithm O(m * Σ) ⓘ
Aho–Corasick algorithm linear in total pattern length times alphabet size ⓘ
sieve of Eratosthenes O(n) ⓘ
forward-backward algorithm O(T·N) ⓘ
Bellman–Ford algorithm O(V) ⓘ
Kosaraju's algorithm O(V + E) ⓘ
Kruskal’s minimum spanning tree algorithm O(V) ⓘ
Dijkstra's shortest path algorithm O(V + E) ⓘ
AVL tree O(n) ⓘ
Prim's minimum spanning tree algorithm O(V + E) ⓘ