Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Let A be a random permutation of [1,2,3,4,5,6,7,8]. Determine the probability that exactly 12 comparisons are required by Merge Sort to sort the input array A. Clearly and carefully justify your answer.
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- Consider median-3 quick sort and bubble sort. When using these two algorithms to sort a list of n elements that have already been sorted in increasing order, which of the following is true for the worst-case time complexity?arrow_forwardShow how quicksort can be made to run in O(nlogn) time in the worst case. Assume the input array is A[0:n-1] and all elements in A are distinct. Write your answer as pseudo-code and use plain language to explain the idea of your algorithm. (Hint: you can use any algorithm helper functions in parts of the designed algorithm. If you use an algorithm, you can directly call the function name in the pseudo-code without expanding the details of the helper function, as long as you clearly explain the meaning of the helper function.)arrow_forwardWe will need to sort this (attached). The following function is called a Bubble Sort. Explain what the code is doing below. Then, sort each row of your matrix by using the apply and bubblesort functions. You may need to transpose the result. You can do so by using the t function. Show the R code in your answer and be sure to explain what the code is doing (in words)arrow_forward
- Prove Proposition: Top-down mergesort uses between ½ N lg N and N lg N compares to sort any array of length N.arrow_forwardHi I was wondering if I could get help with this question. I know that the first five will make the largest sum of 9 but I don't where to go from there Thanksarrow_forwardCan someone help me with this algorithm? No coding neededarrow_forward
- we'll be working with the following set of nine numbers for binary searches set below:4, 10, 15, 18, 23, 26, 30, 34, 40Our objective is to pinpoint the number 26 within this array.The initial segment will comprehensively explain how to conduct a linear search to locate the number 26 within this array.arrow_forwardWe apply the binary search on a 17-element ordered array. Assume that a givenkey appears in the array, and it is between the 5th element and the 13th element(inclusive). How many comparisons do we need for the average-case efficiency?arrow_forwardLet M(n) be the minimum number of comparisons needed to sort an array A with exactly n ele- ments. For example, M(1) = 0, M(2) = 1, and M(4) = 4. If n is an even number, clearly explain why M(n) = 2M(n/2) + n/2.arrow_forward
- Let M[1 .. n] be an array, where each entry contains either a positive or a negative integer. Assume that M is already sorted in decreasing order. We want to decide whether there exists an entry M[r] such that M[r] is equal to r.arrow_forwardProblem 2. Suppose we have an array A[1 : n] which consists of numbers {1,...,n} written in some arbitrary order (this means that A is a permutation of the set {1,...,n}). Our goal in this problem is to design a very fast randomized algorithm that can find an index i in this array such that A[i] mod 8 € {1,2}, i.e., the reminder of dividing A[i] by 8 is either 1 or 2. For simplicity, in the following, we assume that n itself is a multiple of 8 and is at least 8 (so a correct answer always exist). For instance, if n = 8 and the array is A = [8,7, 2,5, 4, 6,3, 1], we want to output either of indices 3 or 8. (a) Suppose we sample an index i from {1,...,n} uniformly at random. What is the probability that i is a correct answer, i.e., A[i] mod 8 E {1,2}? (b) Suppose we sample m indices from {1,...,n} uniformly at random and with repetition. What is the probability that none of these indices is a correct answer? Now, consider the following simple algorithm for this problem: Find-Index-1(A[1:…arrow_forward
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