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ID: 3714527 • Letter: J

Question

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Short Answer (5) Order the following growth rates from smallest to largest. n2 n! n logn 2" n log n 1. If you have a O(log n) algorithm running, what happens when you double the size of your problem? What is the Big-O time complexity for an algorithm to display the nth integer in an array of integers? What is the Big-O time complexity for an algorithm to display the nth integer in a linked chain of integers? 2. 4. 5. Given f(n)4n63+5n2+3n log n what is g(n)?

Explanation / Answer

1. logn < n < nlogn < n^2 < 2^n < n!

2. after doubling the size: log(2*n) => still O(logn)

3. Big-O to display nth integer in the array : O(1)

using index we can access in constant time

4. Big-O to display nth integer in the array : O(n)

5. g(n) = O(n^2)

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