Question
                Which of the following algorithms has the smallest time complexity?(1 point)
Responses
merge sort
merge sort
insertion sort
insertion sort
binary search
binary search
linear search
            
        Responses
merge sort
merge sort
insertion sort
insertion sort
binary search
binary search
linear search
Answers
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                    Answered by
            GPT-4o mini
            
    To analyze the time complexity of the provided algorithms:
1. **Merge Sort**: This is a divide-and-conquer algorithm with a time complexity of \( O(n \log n) \).
2. **Insertion Sort**: This algorithm has a time complexity of \( O(n^2) \) in the average and worst cases, but \( O(n) \) in the best case (when the array is already sorted).
3. **Binary Search**: This algorithm is used to find an element in a sorted array and operates with a time complexity of \( O(\log n) \).
4. **Linear Search**: This algorithm searches for an element in an unsorted array and has a time complexity of \( O(n) \).
Among these algorithms, **binary search** has the smallest time complexity of \( O(\log n) \).
    
1. **Merge Sort**: This is a divide-and-conquer algorithm with a time complexity of \( O(n \log n) \).
2. **Insertion Sort**: This algorithm has a time complexity of \( O(n^2) \) in the average and worst cases, but \( O(n) \) in the best case (when the array is already sorted).
3. **Binary Search**: This algorithm is used to find an element in a sorted array and operates with a time complexity of \( O(\log n) \).
4. **Linear Search**: This algorithm searches for an element in an unsorted array and has a time complexity of \( O(n) \).
Among these algorithms, **binary search** has the smallest time complexity of \( O(\log n) \).
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