When simply determining the order of magnitude of an algorithm using Big-Oh algorithm analysis, an instruction that evaluates to O (c) is equal to one that evaluates to O (1)

A. True

B. False

Question

Computers and Technology

Braeden Webb

26 March, 14:29

When simply determining the order of magnitude of an algorithm using Big-Oh algorithm analysis, an instruction that evaluates to O (c) is equal to one that evaluates to O (1)

A. True

B. False

+1

Answers (1)

Know the Answer?

Quintin Hancock · Answer 1

A. True

Explanation:

Big O notation in computer science is a measure of how effective an algorithm is or, it is the measure of performance of a particular algorithm and it describes the worst case scenario, usually with respect to time taken to execute to finish or memory needed, given the size of the problem O (c) it is the same to one that evaluates to O (1).

When simply determining the order of magnitude of an algorithm using Big-Oh algorithm analysis, an instruction that evaluates to O (c) is equal to one that evaluates to O (1)A. TrueB. False

When simply determining the order of magnitude of an algorithm using Big-Oh algorithm analysis, an instruction that evaluates to O (c) is equal to one that evaluates to O (1)

A. True

B. False