6
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 6)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
7
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 7)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
8
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 8)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
9
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 9)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
10
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 10)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
11
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 11)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
12
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 12)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
13
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 13)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
14
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 14)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
15
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 15)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
16
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 16)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
17
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 17)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
18
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 18)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
19
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 19)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
20
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 20)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
21
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 21)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
22
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 22)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
23
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 23)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
24
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 24)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
25
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 25)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
26
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 26)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
27
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 27)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
28
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 28)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
29
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 29)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
30
What is the optimal space complexity for computing the N-th Fibonacci number using DP (Variation 30)?
A.
O(1) auxiliary space using two variables
B.
O(N) auxiliary space always
D.
O(log N) space using array
Since F(n) = F(n-1) + F(n-2), we only need to retain the two previous states, requiring O(1) space.
