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O(n^2) worst and average case

This dimension groups algorithms by their time complexity, how the time an algorithm takes grows with the size of its input. Wikipedia notes that an algorithm "terminates after a finite number of steps," and how many steps it needs is exactly what time complexity measures. Browsing by time complexity keeps algorithms of a similar efficiency grouped together.

Facts
Comparison
Era of Emergence
1951 CE 1
O(n^2) worst and average case
Sources
1. Wikipedia: Sorting algorithm
WikipediaSorting algorithm, History section
Quote, Sorting algorithm, History section
Among the authors of early sorting algorithms around 1951 was Betty Holberton, who worked on ENIAC and UNIVAC.
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