Home » Quicksort | Chia sẻ về chủ đề quick sort |

Quicksort | Chia sẻ về chủ đề quick sort |

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Kiến thức liên quan đến từ khoá quick sort.

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Hình ảnh liên quan đếnđề tài Quicksort.

Quicksort

Quicksort

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Nội dung có liên quan đến chủ đề quick sort.

#Quicksort.

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Quicksort.

quick sort.

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27 thoughts on “Quicksort | Chia sẻ về chủ đề quick sort |”

  1. And how do we define the function and conditions for the last swap? To be honest, you have actually divided the array in two parts and sorted and then again extracted another subpart from the array into a another temp array and made a pivot, for which the condition is variable. But the main algo for quick sort is (devide array into two parts such that part I is smaller than the pivot and part II is bigger than pivot, sort the left part, sort the right part, and done). This video has followed the algo to some extent but it is not entirely correct.

  2. Median-of-Three Partitioning

    The median of a group of N numbers is the ⌈N/2⌉ th largest number. The best choice of pivot would be the median of the array. Unfortunately, this is hard to calculate and would slow down quicksort considerably. A good estimate can be obtained by picking three elements randomly and using the median of these three as the pivot. The randomness turns out not to help much, so the common course is to use as the pivot the median of the left, right, and center elements. For instance, with input 8, 1, 4, 9, 6, 3, 5, 2, 7, 0 as before, the left element is 8, the right element is 0, and the center (in position ⌊(left + right)/2⌋) element is 6. Thus, the pivot would be v = 6. Using median-of-three partitioning clearly eliminates the bad case for sorted input (the partitions become equal in this case) and actually reduces the number of comparisons by 14 percent.

  3. I was watching a video on LinkedIn Learning and the instructor had over 30 years experience in software development and could not do a better job than this 4 minute illustration, omg….this is beautifully explained and very easy to understand. i have a degree in math and statistics so numbers are my thing but that guy dint do a good job like you.

  4. The best! Logic way and intuitive way! No memorization much at all!
    If you tend to move all elements left side then it takes lot of time so only the adjacent left you move to first…
    I did watch some other lectures also… Until you get it keep on watching. Think for yourself also…

  5. this is a very inefficient way of doing it, you are swapping two numbers each time, you can and should do this with much less swaps..

  6. def quicksort(arr):
    if len(arr) <= 1:
    return arr
    else:
    return quicksort([x for x in arr[1:] if x<arr[0]]) + [arr[0]] + quicksort([x for x in arr[1:] if x>=arr[0]])

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