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Merge sort (also commonly spelled as mergesort or merge-sort) is an efficient, general-purpose, comparison-based sorting algorithm. Most implementations of merge sort are stable, which means that the relative order of equal elements is the same between the input and output. Merge sort is a divide-and-conquer algorithm that was invented by John von…
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merge sort algorithm displaystyle sorted sorting log elements memory time using parallel two space one runs in-place data algorithms left
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Merge sort | Average performance | Θ ( n log n ) {\displaystyle \Theta (n\log n)} | 1.00 | infobox |
| Merge sort | Best-case performance | Ω ( n log n ) {\displaystyle \Omega (n\log n)} typical, Ω ( n ) {\displaystyle \Omega (n)} natural variant | 1.00 | infobox |
| Merge sort | Class | Sorting algorithm | 1.00 | infobox |
| Merge sort | Data structure | Array | 1.00 | infobox |
| Merge sort | Worst-case performance | O ( n log n ) {\displaystyle O(n\log n)} | 1.00 | infobox |
| Merge sort | Worst-case space complexity | O ( n ) {\displaystyle O(n)} total with O ( n ) {\displaystyle O(n)} auxiliary, O ( 1 ) {\displaystyle O(1)} auxiliary with linked lists | 1.00 | infobox |
| Merge sort | is a | divide-and-conquer algorithm that was invented by John von Neumann in 1945 | 0.90 | text |
| Merge sort | is a | stable sort.Merge sort's most common implementation does not sort in place | 0.90 | text |
| Merge sort | is a | stable sort and is more efficient at handling slow-to-access sequential media | 0.90 | text |
| Lisp | instance of | and is thus popular in languages | 0.80 | text |
| where sequentially accessed data structures are very common | instance of | and is thus popular in languages | 0.80 | text |
| insertion sort | instance of | Each of these subarrays is sorted with an in-place sorting algorithm | 0.80 | text |
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