
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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Discuss why and under what conditions bubble sort may be inefficient when the array to be sorted is very large. Be sure to include O-notation and a mathematical example of the increase in computation when increasing by 1
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- Question 2 a) Illustrate the operation of Insertion sort algorithm on the array (4, 18, 1, 30, 7, 8, 3, 11, 25, 16, 10}. (Show the array after each outer loop iteration) b) How many comparisons are performed by the algorithm on the above array?arrow_forwardPlease justify your answer: Some sorting algorithms require extra space, apart from the space needed for the original array that needs to be sorted. Which one of the following statements on the space usage of sorting algorithms is correct? a.) A Heapsort for sorting an array of size N requires an amount of extra space proportional to N. b.) Insertion Sort for sorting an array of size N requires an amount of extra space proportional to N. c.) Merge sort for sorting an array of size N requires an amount of extra space proportional to N. d.) Quicksort for sorting an array of size N requires an amount of extra space proportional to N. e.) None of the abovearrow_forwardUsing selection sort, Sort the following array from greatest to least write down what the array AA and the sortedsorted array will look like at each step.arrow_forward
- Define Selection Sort and Bubble Sort algorithms. How would you sort the following array using selection and bubble sort algorithms. What is the time complexity of each algorithms? a=[4, 2, 6, 5]arrow_forwardCreate and test assumptions regarding the running times of insertion sort and selection sort for arrays with just two key values, assuming the values are equally likely to occur.arrow_forwardQuestion 5: Professor Bond has developed the following algorithm that he claims is going to be a break through in computer science. 1 23400 HER 2 { 6 7 8 9 10 11 Assuming array is zero indexed, A[0] is the first and A[n-1] is the last element, the algorithm is as follows: mystery Function (A, n) 12 13 } int last Pos=n-1; while (last Pos > 0) { } int maxPos=0; for (int i=0; i A[maxPos]) i; maxPos = swap (A, maxPos, lastPos); last Pos last Pos - 1; - Given all of this, answer the following questions. Explain what the algorithm does in plain English. Why does the while loop in the algorithm's pseudocode iterate over all ele- ments but the last, rather than for all elements? (c) (d) What is the best-case of this algorithm? What is the (...) bound on the running time of the best-case of this algorithm? What is the worst-case of this algorithm? What is the (...) bound on the running time of the worst-case of this algorithm?arrow_forward
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