D. The running time of ALGO is Theta of n. E. The running time of ALGO is Omega of n. F. The running time of ALGO is O(n^2).

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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2. For each statement below regarding the running time of ALGO, insert a T or F in
the box depending on whether it is true or false, respectively.
D. The running time of ALGO is Theta of n.
E. The runnin time of ALGO is Omega of n.
F. The running time of ALGO is O(n^2).
Transcribed Image Text:2. For each statement below regarding the running time of ALGO, insert a T or F in the box depending on whether it is true or false, respectively. D. The running time of ALGO is Theta of n. E. The runnin time of ALGO is Omega of n. F. The running time of ALGO is O(n^2).
Consider the following algorithm, which takes in a length-n array A containing
integers in the range 0 to 9.
Assume that array indexing begins at 0.
ALGO (A)
1: Let B be an array of length n
2: Let C be an array of length 10
3: for i=0 to 9
4:
C[i] = 0
5: for j 0 to n-1
6:
C[A[j]] = C[A[j]] + 1
7: for i=1 to 9
C[i] = C[i] + C[i-1]
8:
9: for j = n-1 down to 0
10:
11:
B[C[A[j]]-1] = A[j]
C[A[j]] = C[A[j]] - 1
Transcribed Image Text:Consider the following algorithm, which takes in a length-n array A containing integers in the range 0 to 9. Assume that array indexing begins at 0. ALGO (A) 1: Let B be an array of length n 2: Let C be an array of length 10 3: for i=0 to 9 4: C[i] = 0 5: for j 0 to n-1 6: C[A[j]] = C[A[j]] + 1 7: for i=1 to 9 C[i] = C[i] + C[i-1] 8: 9: for j = n-1 down to 0 10: 11: B[C[A[j]]-1] = A[j] C[A[j]] = C[A[j]] - 1
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