(Big-O Analysis) Total number of comparisons in algorithm A is 2n² +n+1 and total number of comparisons in algorithm B is 2nlog(n) + 8n², where 'n' is input size. (The base of log is 2). Order of algorithm A is O( (a)). Order of algorithm B is O((b)). What is (a) and (b) ? O (a): n2, (b): n2 o (a): n2, (b): nlog(n) (a): n. (b): nlog(n) o (a): n+n, (b): log(n)
(Big-O Analysis) Total number of comparisons in algorithm A is 2n² +n+1 and total number of comparisons in algorithm B is 2nlog(n) + 8n², where 'n' is input size. (The base of log is 2). Order of algorithm A is O( (a)). Order of algorithm B is O((b)). What is (a) and (b) ? O (a): n2, (b): n2 o (a): n2, (b): nlog(n) (a): n. (b): nlog(n) o (a): n+n, (b): log(n)
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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Quèstion 7
(Big-O Analysis) Total number of comparisons in algorithm A is 2n² +n+1 and
total number of comparisons in algorithm B is 2nlog(n) + 8n, where 'n' is input
size. (The base of log is 2).
Order of algorithm A is O( (a) ).
Order of algorithm B is O( (b)).
What is (a) and (b) ?
O (a): n², (b): n2
o (a): n2, (b): nlog(n)
(a): n, (b): nlog(n)
(a): n2
+n, (b): log(n)
ows b
A Moving to another question will save this response."
Transcribed Image Text:- Question Completion Status:
Quèstion 7
(Big-O Analysis) Total number of comparisons in algorithm A is 2n² +n+1 and
total number of comparisons in algorithm B is 2nlog(n) + 8n, where 'n' is input
size. (The base of log is 2).
Order of algorithm A is O( (a) ).
Order of algorithm B is O( (b)).
What is (a) and (b) ?
O (a): n², (b): n2
o (a): n2, (b): nlog(n)
(a): n, (b): nlog(n)
(a): n2
+n, (b): log(n)
ows b
A Moving to another question will save this response.
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