# Use Quicksorts in a sentence

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

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2. What does Quicksorts mean? Plural form of quicksort

Quicksorts, Quicksort

3. It will beat hybrid Quicksorts on ordered distributions

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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.

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.

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; Quicksorts should be recursive functions; Show transcribed image text

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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

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

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

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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

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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

## Dictionary

QUICKSORTS

### Why quick sort is preferred over mergesort?

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.

### What is the adjective for quicksort?

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).

### Is quicksort similar to selection sort?

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.

### What is the difference between quicksort and quicksort?

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.