:) Derive a complexity funciton T(n) for the following pseduo code using the summations. Show your derivation steps. for (i = 1; i< (n-2); i++) { for (j = i+1; j< (n-1); j++) { for (k = j+1; k < n; k++) { printf("Hello class"); }}}

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Q: What is the time complexity for this program?

A:

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Q: ) What “better-known”/simpler complexity class is equivalent to O(N log N2); briefly explain why.…

A: Actually, the given complexity class is equivalent to O(N log N2) The, Answer has given below:

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A: In computer science and algorithm analysis, Big-O notation (also known as time complexity) is used…

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Q: Compute the complexity of the following code snippet:

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A: Answer: I have given answered in the handwritten format in brief explanation.

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A: As the time complexity of insertion time is   O (n) the option may not be the correct answer.

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

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A: for loop 1 O(N) since time complexity of unordered set insertion is O(1) so O(1) *N =O(N)

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A: INTRODUCTION: Here we need to tell the time complexity of the following code:

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Q: What is the time complexity of the following code segment in big O notation? for (int i=0; i<n;…

A: Dear Student, The answer to your question is given below -