Beginner Data Structures & Algorithms
Q31 / 100

What does Big O notation describe?

Correct! Well done.

Incorrect.

The correct answer is C) The upper bound on an algorithm's growth rate as input size grows

C

Correct Answer

The upper bound on an algorithm's growth rate as input size grows

Explanation

Big O notation describes the worst-case upper bound on time (or space) complexity, ignoring constant factors and lower-order terms.

Previous All Questions Next
Progress
31/100
🌳

Browse All Data Structures & Algorithms Questions

100 questions · beginner to advanced