The complexity of an algorithm may be specified using the Big-Oh notation or simply O notation. The Big-Oh of an algorithm gives an approximate measure of the computing time of the algorithm for a large number of inputs. Suppose you are to choose between two different algorithms for a certain problem where one of the algorithms has O(n) and the other is O(n^2). Which algorithm should you prefer? For the purpose of this item, n^2 should be read as n raised to 2. * O The algorithm that is O(n*2) O The algorithm that is O(n)

Database System Concepts
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ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Chapter1: Introduction
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Java Question 19:

 

The complexity of an algorithm may be specified using the Big-Oh
notation or simply O notation. The Big-Oh of an algorithm gives an
approximate measure of the computing time of the algorithm for a large
number of inputs.
Suppose you are to choose between two different algorithms for a
certain problem where one of the algorithms has O(n) and the other is
O(n^2). Which algorithm should you prefer? For the purpose of this item,
n^2 should be read as n raised to 2. *
O The algorithm that is O(n*2)
O The algorithm that is O(n)
Transcribed Image Text:The complexity of an algorithm may be specified using the Big-Oh notation or simply O notation. The Big-Oh of an algorithm gives an approximate measure of the computing time of the algorithm for a large number of inputs. Suppose you are to choose between two different algorithms for a certain problem where one of the algorithms has O(n) and the other is O(n^2). Which algorithm should you prefer? For the purpose of this item, n^2 should be read as n raised to 2. * O The algorithm that is O(n*2) O The algorithm that is O(n)
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