Write a Java program that:• Defines a string array with a length of 15.• Populates the array with random strings of varying lengths.• Sorts this array into lexicographical order using three sorting algorithms.• Merge sort• Quick sort• Radix sort• Tests these 3 sorting methods.• Provides a big-Oh characterization, in terms of n, of the running time of these threealgorithms.Improve the merge sort so that the time complexity of the best case is O(N).Write a Java program that:Defines an array of custom objects representing students, each with attributes likename, age, and GPA.Populates the array with random student data.• Sorts this array based on GPA using three sorting algorithms.Heap sortShell sortBucket sort• Tests these 3 sorting methods.• Gives a big-Oh characterization, in terms of n, of the running time of these threealgorithms.Improve the bucket sort so that the time complexity of the average case is O(N).

Merge Sort:Divide the array into two halves.Recursively apply Merge Sort to each half.Merge the two…

Answered: Write a Java program that: • Defines a…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Shell sort is an in-place comparison-based sorting algorithm which is based on insertion sort algorithm. It works as follow : It breaks the original list into a number of smaller sublists, each of which is sorted using an insertion sort. The unique way that these sublists are chosen is the key to the shell sort. Instead of breaking the list into sublists of contiguous items, the shell sort uses an increment i, sometimes called the gap, to create a sublist by choosing all items that are i items apart. n a) We say that the our initial gap is floor: when we divide our sequence into 2k n sublists where 2k k>0 be the number of passes that can be increment until the denominator not greater than n, n and then sorting the elements which are position away with insertion sort. We have three 2k passes for an array size of 8 to 15. Demonstrate the Shell algorithm on the input array A = [35,33,42,10,14,19,27,44] showing how even- %3D п tually the algorithm outputs the sorted array…
Implement the following algorithms in Java: A) A variant of QUICKSORT which returns without sorting subarrays with fewer than k elements and then uses INSERTION-SORT to sort the entire nearly-sorted array (slide 24).B) A variant of QUICKSORT using the median-of-three partitioning scheme.Slide 24:•Cutoff to INSERTION-SORT (as in MERGE-SORT). Alternatively: −When calling QUICKSORT on a subarray with fewer than k elements, return without sorting the subarray −After the top-level call to QUICKSORT returns, run INSERTION-SORT on the entire array to finish the sorting process −Taking advantage of the fast running time of INSERTION-SORT when its input is “nearly” sorted •Tail call optimisation convert the code so that it makes only one recursive call −Usually good compilers do that for us • Iterative version with the help of an auxiliary stack
Write a C program that gets a positive integer number, n, from the user, and generates n positive random integer values and stores them in a one-dimensional array. Then it starts the timer and sorts the numbers in ascending order using bubble sort technique and display the sorted array on the screen along with the elapsed time. • Bubble Sort is a simple sorting algorithm that works by continually swapping the adjacent elements in an unsorted array if they are not in a right order. Please explain each step as I would like to understand and not copy. Thank you!
In Python: Code two versions of Quicksort algorithms, one using the Lomuto method and one using the Hoare method. Clearly document your code so that it is clear how and why your algorithms are correct. For each of the two algorithms the output must be the following three items: the total numberof comparisons, the total number of swaps, and the total running time. Demonstrate your two Quicksort algorithms on the input array A= [2, 8, 7, 1, 3, 5, 6, 4].
Write a version of the bubble sort algorithm that sorts a list of integers in descending order. Namely, change the bubble sort method to sort the parameter array in descending order. Hint: Bubble sort: void bubbleSort(int array(1) { int size = array.length; boolean isChanged = false; for (int i = 0; i < size - 1; i++) isChanged = false; for (int j = 0; j < size . 1 . 1; j++) if (array(s) > array() + 1]) { int temp = array(s); array[3] . arrays + 1); array() + 1] = temp; is Changed = true; } if (isChanged) break;
def sorting(x, i, j) if j+1-i < 10 then Mergesort(x, i, j); t1 = i + (j+1-i)/3 t2 = i + 2*(j+1-i)/3 Sorting(x, i, t2) Sorting(x, i, j) Sorting(x, i, t2) // x is an array, I and j are first and last indices of this part of the array // on k elements, takes O(k log k) time worst case analysis?
Answer the given question with a proper explanation and step-by-step solution. java
In Python: Let n be a (large) positive integer of your choice. We want to know which of the two Quicksort algorithms methods (he Lomuto method and the Hoare method) is superior when sorting arrays containing n elements. To answer this question, you will run Quicksort on 10000 random permutations of [1,2,3, . . . , n], on each of your two Quicksort algorithms.
Java Quick Sort but make it read the data 10, 7, 8, 9, 1, 5 from a file not an array // Java implementation of QuickSort import java.io.*; class GFG { // A utility function to swap two elements static void swap(int[] arr, int i, int j) { int temp = arr[i]; arr[i] = arr[j]; arr[j] = temp; } /* This function takes last element as pivot, places the pivot element at its correct position in sorted array, and places all smaller (smaller than pivot) to left of pivot and all greater elements to right of pivot */ static int partition(int[] arr, int low, int high) { // pivot int pivot = arr[high]; // Index of smaller element and // indicates the right position // of pivot found so far int i = (low - 1); for (int j = low; j <= high - 1; j++) { // If current element is smaller // than the pivot if…

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