What is the time complexity of following code fragments (as a Big-O of N)? Assume that log(x) returns log value in base 2. int f2 (int n) ( int p,q, k,i,j = 0; for (i = 1; i < n; ++i) { p = 0; for (j = n; j > 1; j=j/2) ++p; for (k = 1; k < p; k=k*2) ++q; }}

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A: answer starts from step 2

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A: The computational complexity of the following piece of code is O(n2).

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A: The Big-O Asymptotic Notation gives us the Upper Bound Idea, mathematically described below:  f(n)…

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A: Find the answer with explanation given as below :

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A: Define find_max function:Initialize max_index to 0.Iterate through the array from index 0 to length…

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Q: ΡΥTHOΝ Determine a function T(n) that relates input size n to number of runtime steps and the Big-O…

A: Please refer below for your reference: Now your function is: def f1(n):      print(1)…

Q: Define the Time complexity of the following piece of code: 1) 2) for(int i = n; i > 0; i/= 2) {…

A: Note: As per our guidelines we are supposed to answer only first 3 questions. Kindly request you to…

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A: According to the information given:- We have to find out the time complexity of each statement.

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A: We can answer only one question at a time kindly upload remaining question seperatly. EDITALE CODE:…

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Q: hat is the time complexity and Big O notation for each of the following code segments?…

A: for(i=0;i&lt;n;i++){Statement;} f(n) =O(n) =

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Q: QUESTION 2 What is the running-time in Big-Oh notation of the following chunk of code? for (int…

A: Option 4 is the correct answer.

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A: Please give positive ratings for my efforts. Thanks.   ANSWER   Here,  the time equivalent of the…

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A: Solution:   Given,

Q: time complexity θ(n).

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Q: What is the time complexity and Big O notation for each of the following code segments

A: In the given piece of code, we have a for loop in which condition is based on the value of n