**See also:** Quicksort Quick Quick-witted Quicken Quickly Quick-wittedness Quickness Quick-tempered Quica Quicker Quickest Quickener Quiche Quickie Quickset Quick-fix Quicklier Quicklime Quickened Quickeneth Quickdraw Quickfire

**1.** Unspecified, but** Quicksorts** are generally linearithmic in num, on average, calling compar approximately num*log2(num) times.

Quicksorts

**2.** What does ** Quicksorts** mean? Plural form of quicksort

Quicksorts, Quicksort

**3.** It will beat hybrid ** Quicksorts** on ordered distributions

Quicksorts

**4.** Quicksort (plural ** Quicksorts**) A sorting algorithm that operates by recursively partitioning the items to be sorted into two sets

Quicksort, Quicksorts

**5.** ** Quicksorts** Variants of the Quicksort Algorithm(Java) Version 1

Quicksorts, Quicksort

**6.** This algorithm offers O(n log(n)) performance on many data sets that cause other ** Quicksorts** to degrade to quadratic performance, and is typically faster than traditional (one-pivot) Quicksort implementations.

Quicksorts, Quadratic, Quicksort

**7.** % ** Quicksorts** in-place the array of integers v, from lb to ub % procedure quicksort ( integer array v( * ) ; integer value lb, ub) ; if ub > lb then begin % more than one element, so must sort % integer left, right, pivot; left := lb; right := ub; % choosing the middle element of the array as the pivot %

Quicksorts, Quicksort

**8.** This algorithm offers O(n log(n)) performance on many data sets that cause other ** Quicksorts** to degrade to quadratic performance, and is typically faster than traditional (one-pivot) Quicksort implementations.

Quicksorts, Quadratic, Quicksort

**9.** Java Traditional ** Quicksorts** are in-place (unlike all the functional versions above)

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**10.** Only ** Quicksorts** TOTAL_ELEMS / MAX_THRESH partitions, leaving insertion sort to order the MAX_THRESH items within each partition

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**11.** The reason I couldn't figure it out via Google is that all the ** Quicksorts** looked different, and it confused me

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**12.** Tip: implement all of them with JAVA ECIIPSE, implement those two ** Quicksorts** using partition;

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**13.** The authors claim that it is the caching behavior of the three-pivot quicksort algorithm that causes it to perform better than single-pivot and dual-pivot ** Quicksorts** in experiments, although they also note that these performance improvements are architecture dependent.

Quicksort, Quicksorts

**14.** The CPU times for these four ** Quicksorts** on a 150 Mhz Alpha AXP machine (in seconds) are given in Table 6 and Graph 7

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**15.** Table 6: CPU times (seconds) for four type of ** Quicksorts** sorting a million records

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**16.** Analyses for 1- and 2-pivot *Quicksorts*

Quicksorts

**17.** This algorithm offers n*log (n) performance on many data sets that cause other *Quicksorts* to degrade to quadratic performance.

Quicksorts, Quadratic

**18.** The CPU times for these four ** Quicksorts** on a 150 Mhz Alpha AXP machine (in seconds) are given in Table 6 and Graph 7

Quicksorts

**19.** Table 6: CPU times (seconds) for four type of ** Quicksorts** sorting a million records

Quicksorts

**20.** A Suppose that all element values are equal What would randomized ** Quicksorts** from COMP 3711 at The Hong Kong University of Science and Technology

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**21.** This is the fast one that partitions the array into 4 subarrays, then ** Quicksorts** each subarray in its own thread, then merges the four subarrays (for the final sorted version)

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**22.** For variant ** Quicksorts** involving extra memory due to representations using pointers (e.g

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**23.** Here's a fun fact: Typical ** Quicksorts** (and introsorts) in standard libraries spend most of the time doing literally nothing - just waiting for the next instruction because of failed branch prediction! If you manage to eliminate branch misprediction, you can easily make sorting twice as fast! At least that is the case if you're sorting items by

Quicksorts

**24.** The memory access pattern also tends to be a lot more cache-friendly than ** Quicksorts** even though it needs a parallel array and a small bucket array typically (the second can usually fit just fine on the stack)

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**25.** ** Quicksorts** the pixels of an image by color, with the array to sort based is determined by the mouseX and mouseY positions.

Quicksorts

**QUICKSORTS**

- › Quick sort vs merge sort
- › Quick sort algorithm
- › Quicksort algo explained in c
- › Quicksort time complexity

Why Quick Sort is preferred over MergeSort for sorting Arrays. Quick Sort in its general form is an in-place sort (i.e. it doesn’t require any extra storage) whereas merge sort requires O(N) extra storage, N denoting the array size which may be quite expensive.

Common adjectives in front of quicksort are deterministic and randomized. Deterministic means that the quicksort will always sort the same set of data in the same fashion while a randomized quicksort uses randomization and will rarely sort the same data in the same exact fashion (unless the data set is very small - then it is more common).

It is very similar to selection sort, except that it does not always choose worst-case partition. Mathematical analysis of quicksort shows that, on average, the algorithm takes O(n log n) comparisons to sort n items. In the worst case, it makes O(n 2) comparisons, though this behavior is rare.

The sub-arrays are then sorted recursively. This can be done in-place, requiring small additional amounts of memory to perform the sorting. Quicksort is a comparison sort, meaning that it can sort items of any type for which a "less-than" relation (formally, a total order) is defined.