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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
Suppose an algorithm takes 5 seconds to handle a data set of 1,000 records. Fill in the following table, which shows the approximate growth of the execution times depending on the complexity of the algorithm.
|
 |
O(n) |
O(n2) |
O(n3) |
O(n log(n)) |
O(2n) |
|
1,000 |
5 |
5 |
5 |
5 |
5 |
|
2,000 |
 |
 |
 |
 |
 |
|
3,000 |
 |
45 |
 |
 |
 |
|
10,000 |
 |
 |
 |
 |
 |
For example, because 3 0002Â /1,0002??9 , the algorithm would take 9 times as long, or 45 seconds, to handle a data set of 3,000 records.
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