Consider merging two sorted subarrays of array A = (8 10 12 23 5 17 30) by calling merge(A 1 4 7). How many key comparisons will be made? Consider merging the two sorted subarrays of array A = ( 8, 10, 12, 23, 5, 17, 30 ) bycalling Merge(A, 1, 4, 7). How many key comparisons will be made?

Answered: orted subarrays of array A = (8 10 12…

Engineering

Computer Science

orted subarrays of array A = (8 10 12 23 5 17 30) by calling merge(A 1 4 7). How many key comparisons will be made?

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

See similar textbooks

Related questions

Q: Apply Quick sort on a given sequence (10, 21, 12, 8, 3, 42, 1, 26, 14, 37, 7}. What is the sequence…

A: Answer : - option a) 8,3,1,7,10,21,12,42,26,14,37

Q: Consider the following array of values: 15,8, 23, 17,48, 33, 4, 29 When running Merge Sort on the…

A: Merge Sort first divides the array as: 15 8 23 17 48 33 4 29 Step 1: 15 8 23 17 48 33…

Q: Consider an Array arr= {2, 3, 4, 1, 5}, what are the pivots that are returned as a subsequent…

A: Arrays in C: An array is a collection of similar type of data elements that are organized in a…

Q: In special case, the time complexity of inserting/deleting elements at the end of dynamic array is…

A: Question. In special case, the time complexity of inserting/deleting elements at the end of dynamic…

Q: Question Give the id [] array that results from the following sequence of 6 union operations on a…

A: C implementation of quick - find algorithm is given below

Q: Q2. For the purpose of merge sorting, separate T[1..n] into three arrays of sizes as equal as…

A: A typical merge sort algorithm divides an array in half continuously until it can no longer be…

Q: Rahul is very good in problem solving so he is given two types of A and B, each with N features., In…

A: Algorithm Firstly we will take the value of number of test cases. The first line of each test…

Q: Consider the array that is given below. Provide step by step process to show how the merge sort…

A: Consider the array that is given below. Provide step by step process to show how the merge sort…

Q: For the following array А-[1, 3,2; 3,3,-1;2,-1,0] nd the values of the second column after applying…

A: given array,we perform operation one by one in figure :

Q: QuickSort

A: Algorithm: typedef enum { RED, WHITE, BLUE } Color; void DutchFlagPartition( int pivot_index ,…

Q: For a list of length n, the sort makes exactly (n (n - 1))/2 key comparisons and 3 (n - 1) item…

A: The assignment contains two questions, where: Question #6: is related to the sorting algorithm…

Q: sing the method quickSort that sort array of objects into an ascending order. For example, 70 80 60…

A: Like merge sort, quicksort uses divide-and-conquer, and so it's a recursive algorithm. The way that…

Q: need the solves asap plz

A: a) A hash table is a data structure that stores data in a linked fashion. Hash tables use arrays as…

Q: MergeSort(A, p, r): if p > r return q = (p+r)/2 mergeSort(A, p, q)…

A: I have given an answer in step 2.

Q: Suppose you want to find the median of the following dataset: | 26 15 39 13 11 19 27 225 14 7 29 221…

A: Answer: Our instruction is answer the first three part from the first part. I have given answered in…

Q: Given the following matrix, A: A - [ 1, 2, з, 4, 5; 6, 7, 8, 9, 10; 11, 12, 13, 14, 15 ] What would…

A: I have given an answer in step 2.

Q: On average, how many comparisons will linear search perform on an array of 1,024 elements? Group of…

A: Answer in Step 2

Q: Consider implementing two tests for inserting into a Hash Table that uses a linear probing collision…

A: For the auxiliary hash function, key % M linear probing will use the hash function h(k,i) = ( (key %…

Q: What is a recurrence relation for the following Mergesort algorithm? MergeSort(A, p, r): if p >…

A: MegreSort is a sorting algorithm used to sort an array by dividing into 2 halves recursively and…

Q: to every other element. When the input is the array [2, 9, 5, 4, 6

Q: Question 99 In Quicksort, the most perfectly balanced split is achieved by the median element of the…

A: A quick sort algorithm should always aim to choose the middle most element as its pivot. Some…

Q: write a recurrence relation describing the running time of algorithm modified merge sort(A, p,r)…

A: The task from the above given question is to explain about the recurrence relation by describing run…

Q: Consider the array {5, 8, 2, 6, 7}. How many exchanges are required to sort the given array using…

A: We are given an array and we are going to sort it using bubble sort. We will see how many exchanges…

Q: Let's play a game from which you are not yet familiar so quickly I will introduce you with the rule.…

A: Program Details: The first line of input contains a single integer TT, denoting the number of…

Q: using java to solve problem and pass test cases you set

A: The function is expected to return an INTEGER_ARRAY. The function accepts the following parameters:"…

Q: i) Consider "key mod 7" as a hash function and a sequence of keys as 50, 700, 76, 85, 92, 73, and…

A: As per our guidelines we are supposed to answer only one question. Kindly repost other questions as…

Q: Conduct doubling experiments to compute the run time and plot the results (for array A and B ) for…

A: Merge sоrt is оne оf the mоst effiсient sоrting аlgоrithms. It wоrks оn the рrinсiрle…

Q: Consider we want to apply SelectionSort on the following array: 3 4 5 7 аrray 12 3 6. 8 44 33 The…

A: To find the first exchange that happen in Selection Sort.

Q: A linear array is said to be balanced if there exists an index, such that the sum of the elements on…

A: The correct answer along with the explanation is given below.

Q: Consider merging the two sorted subarrays of array A = ( 8, 10, 12, 23. 5, 17, 30 ) by calling…

A: A=(23,10,8,12,36,17,5,30) n= 8

Q: Consider the following array of values: 15, 8, 23, 17, 48, 33, 4, 29 When running Merge Sort on the…

A: given the array: 15,8,23,17,48,33,4,29 The second last step in merge sort will be: 8,15,17,23…

Q: Suppose you have the following sorted list [3, 5, 6, 8, 11, 12, 14, 15, 17, 18] and are using the…

A: Option A : 11,5,6,8

Q: Assume that we are using binary search algorithm to sort the following elements in the array 12, 15,…

A: Binary search: Binary search is an algorithm to search an element in an array or list of large size.…

Q: # stack the following list vertically with ones matrix and transpose it mat = [1, 5, 3, 7, 8] [[1.…

A: - We have to create the list shown with 1's appended and them we have to transpose it. - We are…

Q: Consider an array of elements {17, 20, 42, 9, 13, 3, 7, 24}, which two elements or set of elements…

A: Sorting is the process of sorting or arranging a list of elements from a collection. It's nothing…

Q: Consider merging the two sorted subarrays of array A = ( 8, 10, 12, 23, 5, 17, 30 ) by calling…

A: Given array A= {8, 10, 12, 23, 5, 17, 30} Key comparisons will made for Merge(A, 1, 4, 7) is = T(n)…

Q: Suppose you want to use A* techniques to create NxN panmagic squares. That is, the elements are the…

A: Given that, Suppose you want to use A* techniques to create NxN panmagic squares. That is, the…

Q: For a number N, a goodArray is the smallest possible array that consists of only powers of two (20,…

A: As language is not provided doing it in python Programming Language below:

Q: Suppose we have an array A 1....n of even number of elements. Suppose we pair up (A[1], A[2]),…

A: Solution : The given array A[1....n] of even number of elements. After recall the majority function…

Q: Let M(n) be the minimum number of comparisons needed to sort an array A with exactly n elements in…

A: In merge sort the entire unsorted array is divided into two halves till atomic values are reached…

Q: Consider merging the two sorted subarrays of array A = ( 8, 10, 12, 23, 5, 17, 30 ) by calling…

A: Since the complexity of the merge sort for two sorted array having size n and m. It is observed that…

Q: # how can i replace some values with NA in this pandas dataframe? import pandas as pd import numpy…

A: Algorithm: Step1: we imported the pandas and numpy Step2:array = np.random.randint(1,10,(8,4)) it…

Q: Give the array that results after inserting the following sequence of 10 keys into an initially…

A: Given the array of results after inserting sequence of 10 keys into an initially empty linean…

Q: Question 2: The game of "FastestPath" consists of a path (a 1-D array) with n positive integers to…

A: public class test { public static int fastestPath(int[] arr, int pos, int sum) {sum += arr[pos]; //…

Q: a. What is the largest number of key comparisons made by binary search in searching for a key in…

A: Binary search is performed in half of the current size of the array.

Q: Consider the maximum element in an array A consisting of distinct numbers of size at least four.…

A: In the merge sort, the array is divided into the equal-sized arrays until there is the only element.…

Concept explainers

Counting sort

The counting sort algorithm sorts an array’s contents by counting the repetition of each element that occurs in the array. A counting sort algorithm is a stable algorithm that works the best when the range of elements in the array is small, say for example from 0 to 9. The count which is the number of repetitions of an element in the array is mapped to an index of an auxiliary array, which is then saved in an auxiliary array. The counting sort algorithm has a stable time complexity of the order of O(size of array + size of auxiliary array). Let’s discuss the algorithm in detail as follows.

Question

Consider merging two sorted subarrays of array A = (8 10 12 23 5 17 30) by calling merge(A 1 4 7). How many key comparisons will be made?

Consider merging the two sorted subarrays of array A = ( 8, 10, 12, 23, 5, 17, 30 ) by
calling Merge(A, 1, 4, 7). How many key comparisons will be made?

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

Run mergesort for huge random arrays and determine empirically, as a function of N (the total of the two subarray sizes for a given merge), the average length of the other subarray when the first subarray exhausts.
Run mergesort for large random arrays, and make an empirical determination of the average length of the other subarray when the first subarray exhausts, as a function of N (the sum of the two subarray sizes for a given merge).
Write a bottom-up mergesort that makes use of the array's order by carrying out the following steps each time it needs to locate two arrays to merge: locate the first element in an array that is smaller than its predecessor, then locate the next, and finally merge them to form a sorted subarray. Consider the array size and the number of maximal ascending sequences in the array while analysing the running time of this method.
Write a bottom-up mergesort that makes use of the array's order by carrying out the following steps each time it needs to locate two arrays to merge: locate the first entry in an array that is smaller than its predecessor, then locate the next, and finally merge them to form a sorted subarray. Consider the array size and the number of maximal ascending sequences in the array while analysing the running time of this algorithm.
Follow these steps every time it has to identify two arrays to merge in order to develop a bottom-up mergesort that takes use of the order of the arrays: To make a sorted subarray, locate the first item of an array that is smaller than its predecessor, then the second, and so on. Consider the array size and the number of maximal ascending sequences in the array when calculating the execution time of this method.
What is a recurrence relation for the following Mergesort algorithm? MergeSort(A, p, r): if p > r return q = (p+r)/2 mergeSort(A, p, q) mergeSort(A, q+1, r) // reorder array elements mergeSort(A, p, r-1)
Consider a list of data components L[0:5] = 23, 14, 98, 45, 67, and 53. Let's look for the K = 53 key. Naturally, the search moves down the list, comparing key K with each element until it discovers it as the final element in the list. When looking for the key K = 110, the search moves forward but eventually drops off the list, making it a failed search. Write the algorithmic steps for both sorted and unordered linear searches, along with the times involved.
Diagram the contents of the array `{4,32,2,64,128,8,16,1}` at each stage as it is sorted by MergeSort. Feel free to use a | or - to indicate partitions to save space on each line. How many comparisons are made for this list?
For a number N, a goodArray is the smallest possible array that consists of only powers of two (2°,21 ... 2k) such that the sum of all the numbers in the array is equal to N.For each query that consists of three integers I, r, and m, find out the product of elements goodArrayfly through goodArrayir] modulo mwhen goodArray I sorted in non-decreasing order.ExampleFor N = 26, queries = [11, 2, 10091, [3, 3, 511goodArray when sorted is [2,8,16].For query I = 1, r = 2, m = 1009, ans =goodArray(1] * goodArrayf2] = (2 * 8) modulo1009 = 16.For query / = 3, r = 3, m = 5, ans = goodArray =(16) modulo 5 = 1.The answer is [16, 1].Function DescriptionComplete the function getQueryResults
What is a recurrence relation for the following Mergesort algorithm? MergeSort(A, p, r): if p > r return q = (p+r)/2 mergeSort(A, p, q) mergeSort(A, q+1, r) // swap array elements if A[r] > A[q] mergeSort(A, p, q, r)
Consider the following variation of mergesort:(a) If n ≤ 1, we are done.(b) Divide the n elements into b subarrays of n/b elements each.(c) Recursively call mergesort to sort each of the b subarrays.(d) Merge the b sorted subarrays.For example, the standard mergesort has b = 2, and merging takes Θ(n) comparisons.If b = 3, then we have a 3-way mergesort, and one can show that it takes Θ(n) comparisons to merge 3 sorted lists. In fact, one may show that merging b sorted lists (for any fixed b) can be done in Θ(n) comparisons.Now consider the following argument: if we set b = n, we recursively sort n subarrays of size 1, and then merge them into one list with Θ(n) comparisons. Thus, the complexitycan be expressed by:T(1) = 0T(n) = nT(1) + Θ(n) = Θ(n)Therefore, this variation of mergesort sorts an array in Θ(n) comparisons.What is wrong with this argument? Hint: think about how to implement this variation.
i) Consider "key mod 7" as a hash function and a sequence of keys as 50, 700, 76, 85, 92, 73, and 101. Create hash table for to store these keys using linear probing. Suppose you have this list of numbers: List=[20,5,15,29,10,9,11] Show the partially sorted array using bubble sort after 2 complete passes.