Simple Sorting Algorithms with C++
Lesson Overview
Welcome to the lesson dedicated to Quick Sort. Sorting is one of the most investigated classes of algorithms in computer science. Understanding different methods of sorting becomes more crucial as data sizes increase.
Quick Look at QuickSort
The QuickSort algorithm is designed to sort an unsorted array by employing the Divide and Conquer Technique. The algorithm efficiently achieves this with an average time complexity of O(n log n). The idea behind it is to pick a pivot element from the array and partition the other elements into two arrays according to whether they are less than or greater than the pivot.
Here's an overview of how QuickSort works:
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Pivot Selection: Choose a
pivotelement from the array.- The pivot can be any element, but commonly used strategies include picking the first element, the last element, or selecting a random element.
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Partitioning the Array: Rearrange the array such that:
- All elements less than the pivot come before the pivot.
- All elements greater than the pivot come after the pivot.
- The pivot element is now in its correct sorted position.
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Recursive Sorting:
- Recursively apply the
quickSortfunction to the subarray of elements with values less than the pivot. - Recursively apply the
quickSortfunction to the subarray of elements with values greater than the pivot.
- Recursively apply the
Example:
Given the array [10, 7, 8, 9, 1, 5], let's sort it using QuickSort:
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Choose Pivot: Let's pick the last element, 5, as the pivot.
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Partition:
- Elements less than 5: [1]
- Elements greater than 5: [10, 7, 8, 9]
- Array after partitioning: [1, 5, 10, 7, 8, 9]
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Recursive QuickSort:
- Apply QuickSort to [1] (Already sorted)
- Apply QuickSort to [10, 7, 8, 9]
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Repeat the process for the subarray [10, 7, 8, 9], choosing pivots, partitioning, and recursing until the entire array is sorted.
This approach ensures that the sorting process is performed efficiently by continually breaking down the problem into smaller subproblems, which are easier to solve.
We will use a helper function: partition.
The implementation of QuickSort is:
