QuickSort is a sorting algorithm based on the Divide and Conquer algorithm that picks an element as a pivot and partitions the given array around the picked pivot by placing the pivot in its correct position in the sorted array.
Quick Sort is a sorting algorithm that excels at dividing and conquering unsorted data. Imagine a general who separates an army (the unsorted data) from a chosen champion (the pivot). Soldiers weaker than the champion are grouped on one side, while stronger soldiers form the other group. This "partitioning" creates smaller sub-problems (sub-arrays) that are then sorted recursively, just like the two divided army groups. This divide-and-conquer approach makes Quick Sort efficient for large datasets on average; however, the choice of the pivot element can significantly impact its speed.
Your queries:
How does Quick Sort choose a pivot element?
How does Quick Sort partition the array around the pivot?
How does Quick Sort handle elements equal to the pivot?
How does Quick Sort handle recursion to sort sub-arrays?
How does Quick Sort work in-place, modifying the original array?
Why is Quick Sort considered a divide-and-conquer algorithm?
Why is Quick Sort generally faster than bubble sort or selection sort?
Why is choosing a good pivot element crucial for Quick Sort's performance?
Why can Quick Sort have poor performance in certain cases (the worst-case scenario)?
Why is Quick Sort often preferred over other sorting algorithms for average-case scenarios?
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