Exercise on Big-Oh Analysis. Answer True or False whether a function with growth rate is a member of the set of algorithms that grow with a certain complexity. Draw also the graph. n3/2 = O (n2); if n = 500 4n2+5n+2 = Ω (n2); if n = 150 2n3+8n2+6n+7 = ω (2n); if n = 500
Exercise on Big-Oh Analysis. Answer True or False whether a function with growth rate is a member of the set of algorithms that grow with a certain complexity. Draw also the graph. n3/2 = O (n2); if n = 500 4n2+5n+2 = Ω (n2); if n = 150 2n3+8n2+6n+7 = ω (2n); if n = 500
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Exercise on Big-Oh Analysis. Answer True or False whether a function with growth rate is a member of the set of
- n3/2 = O (n2); if n = 500
- 4n2+5n+2 = Ω (n2); if n = 150
- 2n3+8n2+6n+7 = ω (2n); if n = 500
- (n+1)(n-1)/ 3 = o (logn); if n = 200
- 5n + 3 = O (nlogn); if n = 1000
int[] arr = {2,4,6,8,10,12,14,16}; for(int i= 0; i<arr.length; i++){ System.out.println(arr[i]); } |
= o (n) |
7.
for(int row= 1; row<=5; row++){ for(int col=1; col<=3; col++){ System.out.print(“*”); } System.out.println(); } |
= Ω (n2) |
8. 2n = ω (n); if n = 20
9. 6n2+2n+5 = O (n!); if n = 50
10. 2n + 10 = ϴ (nlogn); if n = 200
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