A basic example of these algorithms are distribution sorts, particularly used for external sorting, which divide the data into separate subsets, sort the subsets, and then combine the subsets into totally sorted data; examples include bucket sort and flashsort.
22.
Sometimes a recursive bucket sort works well-when I tidied up my amazingly messy garage, I started by putting objects into piles that related to very general categories-tools in this pile, plumbing parts in that pile, cleaning products that other pile.
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:: : : I'd think a bucket sort would be in order there, as you could quickly subdivide the problem into 4 and easily combine the results back together, once done . talk ) 22 : 21, 20 April 2010 ( UTC)
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Note that for bucket sort to be O ( n ) on average, the number of buckets " n " must be equal to the length of the array being sorted, and the input array must be uniformly distributed across the range of possible bucket values.
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The " n "-way mergesort algorithm also begins by distributing the list into " n " sublists and sorting each one; however, the sublists created by mergesort have overlapping value ranges and so cannot be recombined by simple concatenation as in bucket sort.
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If these requirements are not met, the performance of bucket sort will be dominated by the running time of " nextSort ", which is typically O ( n ^ 2 ) insertion sort, making bucket sort less optimal than O ( nlg ( n ) ) comparison sort algorithms like Quicksort.
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If these requirements are not met, the performance of bucket sort will be dominated by the running time of " nextSort ", which is typically O ( n ^ 2 ) insertion sort, making bucket sort less optimal than O ( nlg ( n ) ) comparison sort algorithms like Quicksort.
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:If more than one person can help-then you can still use a bucket sort-but you might want to split the pile of music in two-have each person sort their pile-then merge the two piles together at the end by repeatedly picking up a sheet from whichever pile as the lowest numbered sheet on the top.
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Bucket sort may be used for many of the same tasks as counting sort, with a similar time analysis; however, compared to counting sort, bucket sort requires linked lists, dynamic arrays or a large amount of preallocated memory to hold the sets of items within each bucket, whereas counting sort instead stores a single number ( the count of items ) per bucket.
30.
Bucket sort may be used for many of the same tasks as counting sort, with a similar time analysis; however, compared to counting sort, bucket sort requires linked lists, dynamic arrays or a large amount of preallocated memory to hold the sets of items within each bucket, whereas counting sort instead stores a single number ( the count of items ) per bucket.
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