Sorting Algorithms: Difference between revisions
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=Sorting Algorithms= | =Sorting Algorithms= | ||
==Comparison Sort== | |||
* [[Insertion Sort#Overview|Insertion sort]] | * [[Insertion Sort#Overview|Insertion sort]] | ||
* [[Merge Sort#Overview|Merge sort]] | * [[Merge Sort#Overview|Merge sort]] | ||
= | ==Non-Compartison Sort== | ||
Revision as of 04:14, 5 August 2018
Internal
Overview
Many programs use sorting as an intermediate step, and that is why sorting is considered a fundamental operation in computer science.
The sorting problem if formally defined as follows: given a sequence of n numbers (a1, a2, ... an) provided as input, the algorithm must produce as output a permutation (reordering) (a'1, a'2, ... a'n) of the input sequence such that a'1 ≤ a'2 ≤ ... ≤ a'n. A specific input sequence is called an instance of the sorting problem.
Comparison sort. Cannot do better than n ln n. Proof in a separate article.
Non-comparison sort.
Sorting algorithms characteristics:
- in-place
- stability