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Radix sort is a sorting algorithm that works for larger keys than pigeonhole sort or counting sort by performing multiple passes over the data. Each pass sorts the input using only part of the keys, by using a different sorting algorithm (such as pigeonhole sort or counting sort) that is suited only for small keys.
For example, addresses could be sorted using the city as primary sort key, and the street as secondary sort key. If the sort key values are totally ordered, the sort key defines a weak order of the items: items with the same sort key are equivalent with respect to sorting. See also stable sorting. If different items have different sort key ...
The sort key for 0 is 5000000000000000000. Numbers out of range. Numbers larger than 10 308 are assigned the sort key 9000000000000000000. Numbers smaller than −10 308 are assigned the sort key 1000000000000000000. Numbers between 10 −308 and 0 or between 0 and −10 −308 are assigned the sort key 5000000000000000000.
Please see WP:SORT § Specifying a sort key for a cell for details. This template is used on approximately 109,000 pages . To avoid major disruption and server load, any changes should be tested in the template's /sandbox or /testcases subpages, or in your own user subpage .
for using names in sortable tables (using "last name, first name" as default sort key) —for using dates in sortable tables —for using alphabetic sort mode for numbers in sortable tables
Table sort keys are best defined using the data-sort-value attribute, like so: | data-sort-value="Doe, John" | John Doe. Please see Help:Sortable tables § Specifying a sort key for a cell for details.
Additional sort key (Optional) Adds another sort key to impose further ordering between rows with the same award or position. For example, if some teams have won a championship multiple times, this can be indicated e.g. |addkey=3 to sort according to number of times they have won. Accepts numbers from 0 to 9999.
Sorted arrays are the most space-efficient data structure with the best locality of reference for sequentially stored data. [citation needed]Elements within a sorted array are found using a binary search, in O(log n); thus sorted arrays are suited for cases when one needs to be able to look up elements quickly, e.g. as a set or multiset data structure.