In Java provide an example of a Quick Sort algortihm and a binary search algorithm working together.

Write a java class named First_Last_Recursive_Merge_Sort that implements the recursive algorithm for Merge Sort. You can use the structure below for your implementation. public class First_Last_Recursive_Merge_Sort { //This can be used to test your implementation. public static void main(String[] args) { final String[] items = {"Zeke", "Bob", "Ali", "John", "Jody", "Jamie", "Bill", "Rob", "Zeke", "Clayton"}; display(items, items.length - 1); mergeSort(items, 0, items.length - 1); display(items, items.length - 1); } private static <T extends Comparable<? super T>> void mergeSort(T[] a, int first, int last) { //<Your implementation of the recursive algorithm for Merge Sort should go here> } // end mergeSort private static <T extends Comparable<? super T>> void merge(T[] a, T[] tempArray, int first, int mid, int last) { //<Your implementation of the merge algorithm should go here> } // end merge //Just a quick method to display the whole array. public...

Write a Java program that generates randomly a list of N integers, sorts the generated list using each of the three sorting algorithms: mergesort sort, quicksort that use the first element as a pivot, and quicksort that use the middle element as pivot and prints as output the execution time for each of the algorithms for randomly generate lists of size N = 40000, 100000 and 200000 and sorted lists as shown in the table.

IN JAVA Write recursive code and iterative code for binary search.

Java programming homework please help

write a recursive function in F#, named indexWiseMax, that takes two list of integers and outputs the index-wise maximum values of two lists. use pattern matching to receive the arguments, lst1, and lst2 and return a list that has the max element for each index of both lists. let rec indexWiseMax lst1 lst2 = match lst1, lst2 with

This is in java

1. Write a linear (0(n)) running time complexity program in Java to find all the dominant elements in the given array of n distinct integer elements. An element is a dominant element if it is greater than all the elements to its right side. The rightmost element in the array is always a dominant element. For example, in the array {16, 17, 4, 3, 5, 2}, dominant elements are 17, 5 and 2. 2. Prove that your algorithm takes (0(n)) running time to compute this task. Formulate the sum equation for this proof.