Big O(Notation)
Mastering Big O Notation
Test your knowledge on algorithm complexities with our engaging quiz on Big O Notation! This quiz covers various aspects of time and space complexity, ensuring you grasp the key concepts essential for any programmer.
Key Features:
- 7 challenging questions
- Multiple choice and checkbox formats
- Perfect for students and professionals alike
Which one is the most common to describe the complexity of computer programs?
O(n) notation
Ω(n) notation
Θ(n) notation
What the TIME complexity of the code below?
O(2^N)
O(N^2)
O(N logN)
O(N)
O(log N)
O(1)
What the SPACE complexity of the code below?
O(2^N)
O(N^2)
O(N logN)
O(N)
O(log N)
O(1)
What the TIME complexity of the code below?
O(2^N)
O(N^2)
O(N logN)
O(N)
O(log N)
O(1)
What the SPACE complexity of the code below?
O(2^N)
O(N^2)
O(N logN)
O(N)
O(log N)
O(1)
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