Big O notation describes ________.
A) the amount of memory required by an algorithm.
B) the difficulty of writing an algorithm to solve a specific problem.
C) an algorithm's efficiency in terms of the work required to solve a problem.
D) the length of an algorithm for solving a specific problem.

Question

Quizplus · Accepted Answer

O notation describes an algorithm's efficiency in terms of the work required to solve a problem, typically in terms of its worst-case performance. It helps to understand how an algorithm will scale as the input size grows larger, and how its performance compares to other algorithms for the same problem. It does not describe the amount of memory required or the difficulty of writing an algorithm. The length of an algorithm is not directly related to its efficiency or performance.

Big O Notation Describes ________