Provide the tightest big-Oh bound on the run time for each of the following methods.

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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I need help finding the Run Time Analysis of these code(s): Provide the tightest big-Oh bound on the run time for each of the following methods. Please explain how you got the answer and why it is case. 

 

e.
void strass (int n)
{
if( n<=1 )
time++;
else
{
strass (n/2);
strass (n/2);
strass (n/2);
for (int i=0; i<n; i++)
for (int j=i; j<n; j++)
time++;
strass (n/2);
for (int i=n/2; i<n; i++);
time ++;
strass (n/2);
strass (n/2);
strass (n/2);
}
Transcribed Image Text:e. void strass (int n) { if( n<=1 ) time++; else { strass (n/2); strass (n/2); strass (n/2); for (int i=0; i<n; i++) for (int j=i; j<n; j++) time++; strass (n/2); for (int i=n/2; i<n; i++); time ++; strass (n/2); strass (n/2); strass (n/2); }
f.
void sithLord (int n)
{
if( n <= 200 )
time += 700;
else
{
sithLord ( (7*n)/10);
for (int i=0; i<n; i++)
time++;
sithLord (n/5);
for (int i=0; i<130*n; i+=10)
time++;
}
}
Transcribed Image Text:f. void sithLord (int n) { if( n <= 200 ) time += 700; else { sithLord ( (7*n)/10); for (int i=0; i<n; i++) time++; sithLord (n/5); for (int i=0; i<130*n; i+=10) time++; } }
Expert Solution
Step 1

Big O is the upper bound, while Omega is the lower bound.

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