Questiastiriesttidileess) Find the comhe nd of the following blocks of code or algorithm's description. [Note: your answer must show the steps that lead to your final answer] (2 marks each) 1) count = 1 for i = 1 2) count = 0 for i = 1 to n do for k = 1 to n do for (j = 2;j

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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Questiastiriestttidtieess)
Find the comhe ing of the following blocks of code or algorithm's description.
[Note: your answer must show the steps that lead to your final answer]
(2 marks each)
1)
count = 1 for i = 1
2)
count = 0 for i
= 1 to n do
for k = 1 to n do
for (j = 2;j<n;j*= 2)
to 100 do
count += i
end for for k = 1
to 100 do
count = i +k +j;
count *= k end for
while j< n do
count +=j
j*= 2;
end for
end
for
end for
end while
3)
4)
The algorithm solves the problem
of size n by dividing it into 8
subproblems of size n/2,
recursively solving each sub-
problem, and then combining the
solutions in
5)
The algorithm solves the problem
by breaking it into 4 sub-problems
of 1/2 the scale, recursively
solving each sub-maze, and then
combining the solutions in linear
time
O(n³) time
The algorithm solves the problem
of size n by recursively solving
two sub-problems of size n- 1,
and then combining the solutions
in constant time.
Transcribed Image Text:Questiastiriestttidtieess) Find the comhe ing of the following blocks of code or algorithm's description. [Note: your answer must show the steps that lead to your final answer] (2 marks each) 1) count = 1 for i = 1 2) count = 0 for i = 1 to n do for k = 1 to n do for (j = 2;j<n;j*= 2) to 100 do count += i end for for k = 1 to 100 do count = i +k +j; count *= k end for while j< n do count +=j j*= 2; end for end for end for end while 3) 4) The algorithm solves the problem of size n by dividing it into 8 subproblems of size n/2, recursively solving each sub- problem, and then combining the solutions in 5) The algorithm solves the problem by breaking it into 4 sub-problems of 1/2 the scale, recursively solving each sub-maze, and then combining the solutions in linear time O(n³) time The algorithm solves the problem of size n by recursively solving two sub-problems of size n- 1, and then combining the solutions in constant time.
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