A bidirectional variant of selection sort, called "'cocktail sort "', is an algorithm which finds both the minimum and maximum values in the list in every pass.
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For this reason selection sort may be preferable in cases where writing to memory is significantly more expensive than reading, such as with EEPROM or flash memory.
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"Selection sort " is an O ( " n " 2 ) complexity, making it inefficient on large lists, and generally performs worse than the similar insertion sort.
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While insertion sort typically makes fewer comparisons than selection sort, it requires more writes because the inner loop can require shifting large sections of the sorted portion of the array.
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It can be seen as an advantage for some real-time applications that selection sort will perform identically regardless of the order of the array, while insertion sort's running time can vary considerably.
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In computer science, "'selection sort "'is a sorting algorithm, specifically an O ( " n " 2 ) time complexity, making it inefficient on large lists, and generally performs worse than the similar insertion sort.
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Assuming the " k " + 1st element's rank is random, insertion sort will on average require shifting half of the previous " k " elements, while selection sort always requires scanning all unplaced elements.
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The algorithm then proceeds until the yellow weighted median of row medians is exactly the medcouple, or the number of candidate entries is small enough to perform a selection sort amongst the remaining entries . ]]
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The resulting algorithm is called partial quicksort and requires an " expected " time of only, and is quite efficient in practice, especially if a selection sort is used as a base case when becomes small relative to.
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Simple calculation shows that insertion sort will therefore usually perform about half as many comparisons as selection sort, although it can perform just as many or far fewer depending on the order the array was in prior to sorting.
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