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:

1. Bubble Sort

• Time complexity: average case O(n^2), worst case O(n^2)
• Space complexity: O(1)
• Stability: stable

2. Selection Sort

• Time complexity: average case O(n^2), worst case O(n^2)
• Space complexity: O(1)
• Stability: not stable

3. Insertion Sort

• Time complexity: average case O(n^2), worst case O(n^2)
• Space complexity: O(1)
• Stability: stable

4. Quick Sort

• Time complexity: average case O(n*log(n)), worst case O(n^2)
• Space complexity: O(log(n))
• Stability: not stable

5. Merge Sort

• Time complexity: average case O(nlog(n)), worst case O(nlog(n))
• Space complexity: O(n)
• Stability: stable

6. 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.