we have two unsorted arrays A[1..n] and B[1..m] and we want to find all the elements...
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we have two unsorted arrays A[1..n] and B[1..m] and we want to find all the elements of B that are also in A. Here are three algorithm approaches: (a) I. Compare every element of A with every element of B. (b) II. Sort A using selection sort, then use binary search in A for every element in B. (c) II. Sort B using selection sort, then use binary search in B for every element in A. What is the best running time of one of these algorithms in the following situations? Give the answer in order notation in terms of n. Explain your answer. (a) m =n. (b) m = n n¹/2 (c) m = n :n² (d) m = 32. we have two unsorted arrays A[1..n] and B[1..m] and we want to find all the elements of B that are also in A. Here are three algorithm approaches: (a) I. Compare every element of A with every element of B. (b) II. Sort A using selection sort, then use binary search in A for every element in B. (c) II. Sort B using selection sort, then use binary search in B for every element in A. What is the best running time of one of these algorithms in the following situations? Give the answer in order notation in terms of n. Explain your answer. (a) m =n. (b) m = n n¹/2 (c) m = n :n² (d) m = 32.
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Answer Lets analyze the running time of each approach in the given situations a m n a I For each ele... View the full answer
Related Book For
Introduction to Algorithms
ISBN: 978-0262033848
3rd edition
Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest
Posted Date:
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