Binary Search BinarySearch(A, key) 1. mid e (low + high)/2 2. while (A[mid]!=key) and ( low<=high) 3. if (key>A[mid]) 4. low + mid +1 5. else 6 . high e mid - 1 7. mid +(low + high)/2 8. if (low<=high) T(n)=1+k+(k-1)+(k-1)+(k-1)+1+1 = 4K= 4 log2n © 9. return true O(log2n) 10. else n/2 + n/4 + n/8 + n/2k 11. return false 2K<=n k=log2n

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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Dry run this algorithm, step by step on paper or on PPT.
Note:
Traverse it for worst case and array must be greater than 5 elements.

Binary Search
BinarySearch(A, key)
1. mid e (low + high)/2
2. while (A[mid]!=key) and ( low<=high)
3.
if (key>A[mid])
4.
low + mid +1
5.
else
6 .
high e mid - 1
mid E(low + high)/2
7.
8. if (low<=high)
T(n)=1+k+(k-1)+(k-1)+(k-1)+1+1
= 4K= 4 log2n ©
9.
return true
O(log;n)
10. else
+ n/2k
k=log2n
n/2 + n/4 + n/8
11.
return false
2K<=n
Transcribed Image Text:Binary Search BinarySearch(A, key) 1. mid e (low + high)/2 2. while (A[mid]!=key) and ( low<=high) 3. if (key>A[mid]) 4. low + mid +1 5. else 6 . high e mid - 1 mid E(low + high)/2 7. 8. if (low<=high) T(n)=1+k+(k-1)+(k-1)+(k-1)+1+1 = 4K= 4 log2n © 9. return true O(log;n) 10. else + n/2k k=log2n n/2 + n/4 + n/8 11. return false 2K<=n
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