Starting Out with Java: From Control Structures through Data Structures (4th Edition) (What's New in Computer Science)
4th Edition
ISBN: 9780134787961
Author: Tony Gaddis, Godfrey Muganda
Publisher: PEARSON
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Expert Solution & Answer
Chapter 16, Problem 7MC
Program Description Answer
“Bubble sort” is a sorting
Hence, the correct answer is option “A”.
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Students have asked these similar questions
This algorithm makes several passes through an array and causes the larger values togradually move toward the end of the array with each pass.a. bubble sortb. selection sortc. insertion sortd. sequential sort
Create a sort algorithm that counts the variety of key values before sorting the array using key-indexed counting using a symbol table. (This technique should not be used if there are many different key values.)
While sorting an array in the ascending order the ______________ first finds the smallest element in the list and then puts it in the appropriate position.
a. Bubble sort
b. Selection sort
c. Shell sort
d. Merge sort
Chapter 16 Solutions
Starting Out with Java: From Control Structures through Data Structures (4th Edition) (What's New in Computer Science)
Ch. 16.1 - Prob. 16.1CPCh. 16.1 - Prob. 16.2CPCh. 16.1 - Prob. 16.3CPCh. 16.1 - Prob. 16.4CPCh. 16.2 - Prob. 16.5CPCh. 16.2 - Prob. 16.6CPCh. 16.2 - Prob. 16.7CPCh. 16.2 - If a sequential search is performed on an array,...Ch. 16.3 - Prob. 16.9CPCh. 16.3 - Prob. 16.10CP
Ch. 16.3 - Prob. 16.11CPCh. 16.3 - Prob. 16.12CPCh. 16.3 - Prob. 16.13CPCh. 16.3 - Prob. 16.14CPCh. 16.3 - Let a[ ] and b[ ] be two integer arrays of size n....Ch. 16.3 - Prob. 16.16CPCh. 16.3 - Prob. 16.17CPCh. 16.3 - Prob. 16.18CPCh. 16 - Prob. 1MCCh. 16 - Prob. 2MCCh. 16 - Prob. 3MCCh. 16 - Prob. 4MCCh. 16 - Prob. 5MCCh. 16 - Prob. 6MCCh. 16 - Prob. 7MCCh. 16 - Prob. 8MCCh. 16 - Prob. 9MCCh. 16 - Prob. 10MCCh. 16 - True or False: If data is sorted in ascending...Ch. 16 - True or False: If data is sorted in descending...Ch. 16 - Prob. 13TFCh. 16 - Prob. 14TFCh. 16 - Assume this code is using the IntBinarySearcher...Ch. 16 - Prob. 1AWCh. 16 - Prob. 1SACh. 16 - Prob. 2SACh. 16 - Prob. 3SACh. 16 - Prob. 4SACh. 16 - Prob. 5SACh. 16 - Prob. 6SACh. 16 - Prob. 7SACh. 16 - Prob. 8SACh. 16 - Prob. 1PCCh. 16 - Sorting Objects with the Quicksort Algorithm The...Ch. 16 - Prob. 3PCCh. 16 - Charge Account Validation Create a class with a...Ch. 16 - Charge Account Validation Modification Modify the...Ch. 16 - Search Benchmarks Write an application that has an...Ch. 16 - Prob. 8PCCh. 16 - Efficient Computation of Fibonacci Numbers Modify...
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- If an array contains the elements shown below, show the array's contents after each pass of a Bubble Sort algorithm that sorts the array into ascending order. 54 22 39 17 63 45 21arrow_forwardWrite the algorithm which sorts the array by using the selection sort algorithm. Then find the complexity of the algorithm as Big O notationarrow_forwardQuick Sort is another sorting algorithm that follows a divide-and-conquer approach. The algorithm can be summarized in 3 steps: A pivot element is chosen, usually the first element. All elements smaller than the pivot are placed to the left of the pivot. This creates 2 partitions, elements greater than the pivot and elements less than the pivot. The 2 partitions are sorted using Quick Sort. Sample code in python3: def quick_sort(arr): def quick_sort_r(arr, start, end): if end - start < 2: # single element base case return # choose a pivot pivot = start # you may choose other elements store = pivot+1 # index to store less than elements # for all elements after the pivot for i in range(pivot+1, end): if arr[i] < arr[pivot]: # if element is less than pivot arr[i], arr[store] = arr[store], arr[i] # swap store += 1 # increment store index # swap pivot with last element in less than…arrow_forward
- Write an algorithm to insert an item into a sorted array.arrow_forwardGiven this array: Sorting smallest to largest, draw this array after: a) Two iterations of Bubble Sort b) Two iterations of the outer (big) loop of Selection Sort c) Two iterations of the outer (big) loop Insertion Sortarrow_forward2. fast please in c++ If an array is already sorted, which of the following algorithms will exhibit the best performance and why? Be precise in your answer. Selection Sort Insertion Sort Merge Sort Quick Sortarrow_forward
- Given this array: Sorting smallest to largest, draw this array after: a) Two iterations of Bubble Sort b) Two iterations of the outer (big) loop of Selection Sort c) Two iterations of the outer (big) loop Insertion Sort Show transcribed image textarrow_forwardIf an array is sorted in _________ order, the values are stored from lowest to highestarrow_forwardPhase 1: Execution time for Sorting Write a program that obtains the execution time of selection sort, bubble sort, merge sort, quick sort, heap sort, and radix sort for input size 50,000, 100,000, 150,000, 200,000, 250,000, and 300,000. Create a method or class for each sorting algorithm and call them from the main(). Your program should create data randomly and print a table like this: Array size 100,000 200,000 300,000 Insertion Sort Bubble Sort Merge Sort Quick Sort Heap Sort Radix Sort (HINT: You can use the following code template to obtain the execution time.) long startTime = System.nanoTime(); perform the task; long endTime = System.nanoTime(); long executionTime = endTime − startTime;arrow_forward
- solve in python coding 3. Selection Sort• The idea in a selection sort is that you locate the largest item out of a set ofunsorted items, and move it into position at the end of the unsorted items. Asorted region grows one item at a time, while an unsorted region shrinks.• As done in Part 1, fill an array with random numbers.• Write a function that locates the largest element in the portion of the arraybeginning at the start of the array, up to a given index, and swaps the largestitem with the item at the given index.• E.g. If searching a[0] to a[7] locates the largest item at a[4], a[4] and a[7] would beswapped.• Write a second function that calls the first function repeatedly, until the entirearray is sorted. (Each time the first function is called, it will search one fewerelement)arrow_forward!!!An unsorted array has the property that each element has a distance of at most k positions from its sorted version. Find the smallest k value. write Code!arrow_forwardThe running time of searching for a specified item in a non sorted array is ____. Question 10 options: O(1) O(n) O(log n) O(n2)arrow_forward
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