Find the time Complexity of the following code
show the process
j = 1;
m = [];
while j <= size(s,2)
m1 = 0;
i = 1;
while i <= size(c,2)
try
m1 = m1 + X(c(i),s(j));
i = i + 1;
catch
i = i + 1;
end
end
m = [m m1/size(c,2)];
j = j + 1;
end
end
`Hey,
Note: Brother in case of any queries, just comment in box I would be very happy to assist all your queries
Let the size of matrix s is n and size of matrix c is m.
So, since there are 2 nested loops and all inside operations are constant.
So, the total time complexity will be O(n*m) where size of matrix s is n and size of matrix c is m.
Kindly revert for any queries
Thanks.
Find the time Complexity of the following code show the process j = 1; m =...
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Using C++ please explain
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Find the running time complexity for the following code
fragments. Express your answers using either the Big-O or Big-Θ
notations, and the tightest bound possible. Justify your
answers.
for(int count O , i -0; i < n* n; i++) for(int i0 ; j <i; j++) count++
for(int count O , i -0; i
discrete math
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