the Big-Oh complexities specified  in question graph according to the order of their growth

Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Arrange the Big-Oh complexities specified  in question graph according to the order of their growth  

S.
Expression
Dominant term(s) | 0(...)
No.
75 + 0.001n'-3 + 0.025n + (1000)+
500n + 100n³ + 50n³ log10 n
O(n!3)
O(n³
log10 n)
O(n10.4)
1.
0.001n'3
2.
50n³ log10 n
3.
(10n².6)4 + 0.3n + 5n!0.3 + 2.5 · n².75 (10n26)4
150n* + n² log, n + (n(log, n))*
n² log2 n
O(n°(log
n))
O(log n)
O(n³)
O(n³)
O(no.5 )
O(n²
log2 n)
4.
3 log1o n+ log2 log2 n
100n³ + 0.01n² + 200(log2 n)*
n³ + 0.01n + 100n² + 5n³
5.
3 logs n
6.
100n
7.
5n3
2n0.5 + n°.35 + 0.5nº-25
0.01n² log2 n+ n(log2 n)
8.
2n05
9.
n(log2 n)
10.
50n³ log; n + nº log; n + 100n“
50n³ log; n
O(n³
log; n)
Transcribed Image Text:S. Expression Dominant term(s) | 0(...) No. 75 + 0.001n'-3 + 0.025n + (1000)+ 500n + 100n³ + 50n³ log10 n O(n!3) O(n³ log10 n) O(n10.4) 1. 0.001n'3 2. 50n³ log10 n 3. (10n².6)4 + 0.3n + 5n!0.3 + 2.5 · n².75 (10n26)4 150n* + n² log, n + (n(log, n))* n² log2 n O(n°(log n)) O(log n) O(n³) O(n³) O(no.5 ) O(n² log2 n) 4. 3 log1o n+ log2 log2 n 100n³ + 0.01n² + 200(log2 n)* n³ + 0.01n + 100n² + 5n³ 5. 3 logs n 6. 100n 7. 5n3 2n0.5 + n°.35 + 0.5nº-25 0.01n² log2 n+ n(log2 n) 8. 2n05 9. n(log2 n) 10. 50n³ log; n + nº log; n + 100n“ 50n³ log; n O(n³ log; n)
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