QuestionGive the sequence of the 13 keys in the array that results after inserting the sequence of 3 keys75 31 40into the following maximum-oriented binary heap of size 10:93 82 77 16 59 20 69 11 13 41AnswerYour answer should be a sequence of 13 integers, separated by whitespace.

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Answered: Question Give the sequence of the 13…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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The array below is used to store the values from a heap. What would be the content of the array after we remobe the minimum value. Please code with c++.
Task - 2: Write a java program (AnyTypeMergeSort.java) to implement the Merge Sort algorithm to sort the array containing any type of elements (suppose strings). Your program will have the following method signature: ● ● public void mergeSort(T[] A, int lowerBound, int upperBound) public void merge(T[] A, int lowerBound, int midPoint, int upperBound) Following is the Merge Sort Algorithm MERGE-SORT (A, p,r) 1 if p≥r 2 3 4 5 6 // Merge A[p:q] and A[q + 1:r] into A[p:r]. 7 MERGE(A, p, q, r) 4 Where p and r represent lower (starting index) and upper (ending index) bounds of array A respectively. The Merge Sort calls the following Merge Algorithm that accepts q as the mid of the array along with p and r: MERGE(A, p, q, r) 1 n₂ = q-p+1 2 nR=r-9 3 let L[0:n 5 6 7 8 9 10 11 return ANZEIGEN q = [(p+r)/2] MERGE-SORT(A, p, q) MERGE-SORT (A, q + 1,r) 22 25 26 27 i = 0 j = 0 k = p 12 13 14 15 16 17 18 19 // Having gone through one of L and R entirely, copy the // remainder of the other to the end…
Is the following array a heap? Why or why not? 10 14 16 20 18 31 22 21 24 41 37 40
Quicksort is a powerful divide-and-conquer sorting algorithm that can be described in just four lines ofpseudocode. The key to Quicksort is the PARTITION(A, p, r) procedure, which inputs elementsptorof array A,and chooses the final element x = A[r] as the pivot element. The output is an array where all elementsto the left ofxare less thanx, and all elements to the right of x are greater than x. In this question, we will use the Lomuto Partition Method from class and assume that the pivot isalwaysthe last (right-most) element of the input array. Question: Let A be an array withn= 2k−1 elements, where k is some positive integer. Determine a formula (in terms of n) for the minimum possible number of total comparisons required by Quicksort, as well as a formula for the maximum possible number of total comparisons required by Quicksort. Use your formulas to show that the running time of Quicksort is O(nlogn) in the best case and O(n2) in the worst case.
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These questions are from Data Structures. Please answer each part of the question in details as to why each of the answer correct and why the other options are wrong. Please provide details. For sufficient answer quality, I'd give a thumbs up and otherwise if the answer is short and not understood. Please explain as if you are explain the concept to a kid. Please answer all parts of the questions shown.
Suppose we are performing a binary search on a sorted vector initialized as follows: // index 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16vector<int>numbers { 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34};intindex=binarySearch(numbers, 28); Write the indexes of the elements that would be examined by the binary search (the mid values in our algorithm's code) and write the value that would be returned from the search. find: indexes examined value returned
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char ** doubleIt (char **arr, int *maxsize); The doubleIt function will increase the heap size by doubling the original space. The functions takes 2 arguments: 1. A double pointer of type char called arr. This is a 2D dynamic array that contains words (strings) from the respective category (noun, verb, adjective, preposition). This is the original heap. 2. A pointer of type int called maxsize. This pointer holds the address of an integer that keeps track of the maximum amount of strings the 2D dynamic array can store. When this function is invoked, the current size of the dynamic array is at capacity so the values should match. This value will need to be multiplied by 2. The function allocates a new heap that is twice the size of the original heap and copy the values from the original heap into the new heap. One important note about this is that you have to properly copy the values over in order to avoid segmentation fault. Think about how this can be avoided. That is part of the…
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Question Give the sequence of the 13 keys in the array that results after inserting the sequence of 3 keys 75 31 40 into the following maximum-oriented binary heap of size 10: 93 82 77 16 59 20 69 11 13 41 Answer Your answer should be a sequence of 13 integers, separated by whitespace.