Question: Problem 1. (15 points) (1) What is time complexity of fun()? int fun(int n) { int count = 0; for (int i = n; i
Problem 1. (15 points)
| (1) What is time complexity of fun()? int fun(int n) { int count = 0; for (int i = n; i > 0; i /= 2) for (int j = 0; j < i; j++) for (int k=1; k count += 1; return count; } (A) O (n) (B) O (n^2) (C) O (n^3) (D) O (2n) |
| (2) Given that there are n elements in a one-dimensional array, the average time complexity of reading the i-th array element is () (A) O (1) (B) O (n^2) (C) O (n) D) O (2n)
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(3) Given that F(n) is a Fibonacci number, if F(0) =1, then the 9th numbers in the series is ( ) (A) 13 (B) 21 (C) 34 (D) 55
(4) The following sequences are used to construct a binary sorted tree, which is different from the results of the other three sequences () A. 100, 80, 90, 60, 120, 110, 130 B. 100, 120, 110, 130, 80, 60, 90
C. 100, 60, 80, 90, 120, 110, 130 D. 100, 80, 60, 90, 120, 130, 110
(5) The basic elements of the greedy algorithm is () A. Overlapping subproblems
B. Constructing optimal solutions
C. Locally optimal solutions
D. Greedy choice property
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