i Organize the following functions into six columns. Items in the same column should have the same asymptotic growth rates (big-0). If a column is to the left of another column, all its growth rates should be slower than those of the column to its right. n², n!, log2 n, n log2 n, 3n, 5n² + 3, 2", 10000, n log3 n, 100n, 3log3n ii Using the definition of big-O, show 100n + 5 = 0(n). Give a particular e and no. %3D iii Using the definition of big-O, show that n = 0(2"). Give a particular e and no- iv Identify a function f(n) which has 3n + 4n? + 3n! = n= 0(n!) and n² = 0(n!). O(f(n)). You may use the facts that

COMPREHENSIVE MICROSOFT OFFICE 365 EXCE
1st Edition
ISBN:9780357392676
Author:FREUND, Steven
Publisher:FREUND, Steven
Chapter6: Creating, Sorting, And Querying A Table
Section: Chapter Questions
Problem 10EYK
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Function Growth
i Organize the following functions into six columns. Items in the same column should have the
same asymptotic growth rates (big-O). If a column is to the left of another column, all its
growth rates should be slower than those of the column to its right.
n2, n!, log, n, n log, n, 3n, 5n² + 3, 2", 10000, n log3 n, 100n, 3logzn
ii Using the definition of big-O, show 100n + 5 = 0(n). Give a particular e and no.
iii Using the definition of big-O, show that n =
O(2"). Give a particular e and no.
iv Identify a function f(n) which has 3n + 4n? + 3n!
n = 0(n!) and n² = O(n!).
O(f (n)). You may use the facts that
Transcribed Image Text:Function Growth i Organize the following functions into six columns. Items in the same column should have the same asymptotic growth rates (big-O). If a column is to the left of another column, all its growth rates should be slower than those of the column to its right. n2, n!, log, n, n log, n, 3n, 5n² + 3, 2", 10000, n log3 n, 100n, 3logzn ii Using the definition of big-O, show 100n + 5 = 0(n). Give a particular e and no. iii Using the definition of big-O, show that n = O(2"). Give a particular e and no. iv Identify a function f(n) which has 3n + 4n? + 3n! n = 0(n!) and n² = O(n!). O(f (n)). You may use the facts that
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