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What is the overall Big-O running time of function foo?

What is the overall Big-O running time of function foo?

Computer Networking: A Top-Down Approach (7th Edition)
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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What is the overall Big-O running time of function foo?

O O(1) O O(n) O O(log(n)) O O(n.log(n)) OO(n) O O(n².log(n))
Transcribed Image Text:O O(1) O O(n) O O(log(n)) O O(n.log(n)) OO(n) O O(n².log(n))
1: void foo(int n) { int sum = 2: 0; 3: stack<int> s; 4: for (int i=1; i < n; i=i*2) { for(int j=1; j<n; 5: j=j+2) { 6: s.push(i+j); 7: } 8: } 9: while (!s.empty()) { 10: for(int j = n; j>1; j=j-2) { 11: sum sum + j+ s.top(); 12: } 13: s.pop(); 14: } 15: cout<<sum<<endl; 16: }
Transcribed Image Text:1: void foo(int n) { int sum = 2: 0; 3: stack<int> s; 4: for (int i=1; i < n; i=i*2) { for(int j=1; j<n; 5: j=j+2) { 6: s.push(i+j); 7: } 8: } 9: while (!s.empty()) { 10: for(int j = n; j>1; j=j-2) { 11: sum sum + j+ s.top(); 12: } 13: s.pop(); 14: } 15: cout<<sum<<endl; 16: }
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