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

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).

Answer Link

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

Respuesta :

Otras preguntas

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