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Insertion sort is a simple sorting algorithm that builds the final sorted array (or list) one item at a time by comparisons It begins with quicksort, it switches to heapsort when the recursion depth exceeds a level based on (the logarithm of) the number of elements being sorted and it switches to insertion sort when the number of elements is below some. It is much less efficient on large lists than more advanced algorithms such as quicksort, heapsort, or merge sort.

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Sorting algorithm merge sort in computer science, a sorting algorithm is an algorithm that puts elements of a list into an order It was implemented by tim peters in 2002 for use in the python programming language. The most frequently used orders are numerical order and lexicographical order, and either ascending or descending.

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On the other hand, insertion sort considers one input element per iteration and produces a partial solution without considering future elements

Thus insertion sort is an online algorithm Note that the final result of an insertion sort is optimum, i.e., a correctly sorted list. A classic example of an adaptive sorting algorithm is insertion sort [1] in this sorting algorithm, the input is scanned from left to right, repeatedly finding the position of the current item, and inserting it into an array of previously sorted items

[1][2][3][4] it uses fewer comparisons in the worst case than the best previously known algorithms, binary insertion sort and merge sort, [1] and for 20 years it was the sorting algorithm with the fewest known comparisons The nist dictionary of algorithms and data structures[1] is a reference work maintained by the u.s National institute of standards and technology It defines a large number of terms relating to algorithms and data structures

For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures.