- A O(1)
- B O(log N)
- C O(N)
- D O(N^2)
Time Complexity - Quiz
- A O(N)
- B O(log N)
- C O(N^2)
- D O(N log N)
- A O(N)
- B O(log N)
- C O(N^2)
- D O(N log N)
- A O(N)
- B O(log N)
- C O(N^2)
- D O(Nk), where k is the maximum number of digits in the input numbers.
- A O(1)
- B O(log N)
- C O(N)
- D O(N log N)
- A O(N)
- B O(log N)
- C O(N^2)
- D O(1)
- A O(1)
- B O(log N)
- C O(N)
- D O(N^2)
- A O(N)
- B O(log N)
- C O(N^2)
- D O(N log N)
- A O(1)
- B O(log N)
- C O(N)
- D O(N log N)
- A O(N)
- B O(log N)
- C O(N^2)
- D O(N + k), where k is the range of input values.
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🟢 Correct Answers: 🔴 Wrong Answers:
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Quiz Analytics
Time Complexity - Quiz
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Time Taken: Questions: Answered: Not Answered:
Correct Answer:
Wrong Answer:
Percentage: %
- A. O(1)
- B. O(log N)
- C. O(N)
- D. O(N^2)
Remarks:
Explanation:
Binary search in a balanced BST has a time complexity of O(log N) where N is the number of elements. This is due to the logarithmic reduction in the search space with each comparison.
- A. O(N)
- B. O(log N)
- C. O(N^2)
- D. O(N log N)
Remarks:
Explanation:
Quicksort exhibits an average time complexity of O(N log N) due to its efficient divide-and-conquer approach.
- A. O(N)
- B. O(log N)
- C. O(N^2)
- D. O(N log N)
Remarks:
Explanation:
Merge sort has a time complexity of O(N log N), making it a stable and efficient sorting algorithm.
- A. O(N)
- B. O(log N)
- C. O(N^2)
- D. O(Nk), where k is the maximum number of digits in the input numbers.
Remarks:
Explanation:
Radix sort has a time complexity of O(Nk), where k is the maximum number of digits in the input numbers.
- A. O(1)
- B. O(log N)
- C. O(N)
- D. O(N log N)
Remarks:
Explanation:
Constructing a binary heap has a time complexity of O(N), where N is the number of elements being inserted.
- A. O(N)
- B. O(log N)
- C. O(N^2)
- D. O(1)
Remarks:
Explanation:
In the best-case scenario, the time complexity of bubble sort is O(N), making it efficient for already sorted lists.
- A. O(1)
- B. O(log N)
- C. O(N)
- D. O(N^2)
Remarks:
Explanation:
The pop operation in a queue has a constant-time complexity of O(1), making it efficient for removing elements from the front of the queue.
- A. O(N)
- B. O(log N)
- C. O(N^2)
- D. O(N log N)
Remarks:
Explanation:
Quicksort has an average-case time complexity of O(N log N), making it efficient for sorting large datasets on average.
- A. O(1)
- B. O(log N)
- C. O(N)
- D. O(N log N)
Remarks:
Explanation:
The union operation in a disjoint-set with path compression has a time complexity of O(log N), where N is the number of elements.
- A. O(N)
- B. O(log N)
- C. O(N^2)
- D. O(N + k), where k is the range of input values.
Remarks:
Explanation:
Counting sort has a time complexity of O(N + k), where N is the number of elements and k is the range of input values.