Understanding Quick Sort: Fast and Efficient Sorting Algorithm | CodeZilla
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🎥 Welcome to CodeZilla! In
🎥 Welcome to CodeZilla! In today's video, we delve into the fascinating world of sorting algorithms and explore the highly efficient Quick Sort algorithm.
🔍 What is Quick Sort?
Quick Sort is a powerful divide-and-conquer algorithm that sorts an array or list by selecting a 'pivot' element and partitioning the other elements into two subarrays, according to whether they are less than or greater than the pivot. This process is recursively applied to the subarrays, ensuring a time complexity of O(n log n) on average.
🧩 How Does Quick Sort Work?
Choose a Pivot: Select an element from the array to serve as the pivot.
Partition: Rearrange the array elements so that all elements less than the pivot come before it, and all elements greater come after it.
Recursively Sort: Apply the same process to the subarrays on either side of the pivot.
📋 Step-by-Step Breakdown:
Start with an unsorted array.
Choose a pivot element.
Partition the array around the pivot.
Recursively apply quick sort to the subarrays.
Combine the results to get a fully sorted array.
💡 Why Use Quick Sort?
Efficiency: Average time complexity of O(n log n).
Performance: Often faster in practice compared to other O(n log n) algorithms like Merge Sort.
In-place Sorting: Requires less additional memory.
🔍 What is Quick Sort?
Quick Sort is a powerful divide-and-conquer algorithm that sorts an array or list by selecting a 'pivot' element and partitioning the other elements into two subarrays, according to whether they are less than or greater than the pivot. This process is recursively applied to the subarrays, ensuring a time complexity of O(n log n) on average.
🧩 How Does Quick Sort Work?
Choose a Pivot: Select an element from the array to serve as the pivot.
Partition: Rearrange the array elements so that all elements less than the pivot come before it, and all elements greater come after it.
Recursively Sort: Apply the same process to the subarrays on either side of the pivot.
📋 Step-by-Step Breakdown:
Start with an unsorted array.
Choose a pivot element.
Partition the array around the pivot.
Recursively apply quick sort to the subarrays.
Combine the results to get a fully sorted array.
💡 Why Use Quick Sort?
Efficiency: Average time complexity of O(n log n).
Performance: Often faster in practice compared to other O(n log n) algorithms like Merge Sort.
In-place Sorting: Requires less additional memory.
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