In computer science, Big O notation refers to which of the following?
Difficulty: Hard
About this MCQ
This Hard Algorithms question asks: In computer science, Big O notation refers to which of the following? The correct choice is B. A mathematical notation used to describe the upper bound of an algorithm's time or space complexity.. Read the options below, commit to one, then use the explanation to see why that choice holds and why the others do not.
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- A. A measure of the amount of time an algorithm takes to run as a function of input size.
Why not A: “A measure of the amount of time an algorithm takes to run as a function of input size.” does not fit this question. The answer is A mathematical notation used to describe the upper bound of an algorithm's time or space complexity..
- B. A mathematical notation used to describe the upper bound of an algorithm's time or space complexity. ✓
- C. A graph traversal algorithm that explores all neighbors at the current depth before moving deeper.
Why not C: “A graph traversal algorithm that explores all neighbors at the current depth before moving deeper.” does not fit this question. The answer is A mathematical notation used to describe the upper bound of an algorithm's time or space complexity..
- D. An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results.
Why not D: “An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results.” does not fit this question. The answer is A mathematical notation used to describe the upper bound of an algorithm's time or space complexity..
Correct answer
B. A mathematical notation used to describe the upper bound of an algorithm's time or space complexity.
Explanation
A mathematical notation used to describe the upper bound of an algorithm's time or space complexity option B is the accepted answer to In computer science Big O notation refers to which of the following Option A A measure of the amount of time an algorithm takes to run as a function of input size does not fit this question Option C A graph traversal algorithm that explores all neighbors at the current depth before moving deeper does not fit this question Option D An algorithmic technique that solves problems by breaking them into overlapping subproblems and storing results does not fit this question For this Algorithms question the accepted.
Source: Algorithms Official Reference Guide
Tags: computer science, algorithms, problem solving, complexity analysis
Submitted by: MCQsHub Editorial
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