Consider the following functions fl and f2: int f1 (int n) { if (n == 0) { return 1; } else { return f2(4, f1(n - 1)); }} int f2 (int n1, int n2) { if (n1 == 0) { return 0; }else { return n2 + f2(n1 1, n2); }} Analyze the computational complexity of the fl function expressed in terms of big-O notation?

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Consider the following functions fl and f2:
int f1 (int n) {
if (n =
0) {
=
return 1;
} else {
return f2 (4, f1 (n - 1));
}}
int f2 (int n1, int n2) {
if (n1
0) {
==
return 0;
}else {
return n2 + f2 (n1 - 1, n2);
}}
Analyze the computational complexity of the fl function expressed in terms of big-O notation?
Transcribed Image Text:Consider the following functions fl and f2: int f1 (int n) { if (n = 0) { = return 1; } else { return f2 (4, f1 (n - 1)); }} int f2 (int n1, int n2) { if (n1 0) { == return 0; }else { return n2 + f2 (n1 - 1, n2); }} Analyze the computational complexity of the fl function expressed in terms of big-O notation?
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