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AI solution for Interview Question on BFE.dev
1. What are the time and space complexity for sorting algorithms
Here is a breakdown of the time and space complexity for common sorting algorithms:
- Bubble Sort
- Time complexity: average case O(n^2), worst case O(n^2)
- Space complexity: O(1)
- Stability: stable
- Selection Sort
- Time complexity: average case O(n^2), worst case O(n^2)
- Space complexity: O(1)
- Stability: not stable
- Insertion Sort
- Time complexity: average case O(n^2), worst case O(n^2)
- Space complexity: O(1)
- Stability: stable
- Quick Sort
- Time complexity: average case O(n*log(n)), worst case O(n^2)
- Space complexity: O(log(n))
- Stability: not stable
- Merge Sort
- Time complexity: average case O(nlog(n)), worst case O(nlog(n))
- Space complexity: O(n)
- Stability: stable
- Heap Sort
- Time complexity: average case O(nlog(n)), worst case O(nlog(n))
- Space complexity: O(1)
- Stability: not stable
Remembering the above information about sorting algorithms can demonstrate your knowledge and ability to analyze algorithms, which can be a valuable skill in FrontEnd engineering.