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How can I implement the Union-Find algorithm?

I'm trying to implement the Union-Find algorithm, but all of the implementations i've looked up use integers. I need to implement the algorithm so that I can call the union() and the connected() methods in this way: union(Vertex v, Vertex, w) - connected(Vertex v, Vertex w)
I've tried adapting my algorithm for it to work with vertices, but I don't know how to replace the parent and rank atributes to make it work. Please help :(
public class UF {
private int[] parent; // parent[i] = parent of i
private byte[] rank; // rank[i] = rank of subtree rooted at i (never more than 31)
private int count; // number of components
/**
* Initializes an empty union–find data structure with {#code n} sites
* {#code 0} through {#code n-1}. Each site is initially in its own
* component.
*
* #param n the number of sites
* #throws IllegalArgumentException if {#code n < 0}
*/
public UF(int n) {
if (n < 0) throw new IllegalArgumentException();
count = n;
parent = new int[n];
rank = new byte[n];
for (int i = 0; i < n; i++) {
parent[i] = i;
rank[i] = 0;
}
}
/**
* Returns the component identifier for the component containing site {#code p}.
*
* #param p the integer representing one site
* #return the component identifier for the component containing site {#code p}
* #throws IllegalArgumentException unless {#code 0 <= p < n}
*/
public int find(int p) {
validate(p);
while (p != parent[p]) {
parent[p] = parent[parent[p]]; // path compression by halving
p = parent[p];
}
return p;
}
/**
* Returns the number of components.
*
* #return the number of components (between {#code 1} and {#code n})
*/
public int count() {
return count;
}
/**
* Returns true if the the two sites are in the same component.
*
* #param p the integer representing one site
* #param q the integer representing the other site
* #return {#code true} if the two sites {#code p} and {#code q} are in the same component;
* {#code false} otherwise
* #throws IllegalArgumentException unless
* both {#code 0 <= p < n} and {#code 0 <= q < n}
*/
public boolean connected(int p, int q) {
return find(p) == find(q);
}
/**
* Merges the component containing site {#code p} with the
* the component containing site {#code q}.
*
* #param p the integer representing one site
* #param q the integer representing the other site
* #throws IllegalArgumentException unless
* both {#code 0 <= p < n} and {#code 0 <= q < n}
*/
public void union(int p, int q) {
int rootP = find(p);
int rootQ = find(q);
if (rootP == rootQ) return;
// make root of smaller rank point to root of larger rank
if (rank[rootP] < rank[rootQ]) parent[rootP] = rootQ;
else if (rank[rootP] > rank[rootQ]) parent[rootQ] = rootP;
else {
parent[rootQ] = rootP;
rank[rootP]++;
}
count--;
}
// validate that p is a valid index
private void validate(int p) {
int n = parent.length;
if (p < 0 || p >= n) {
throw new IllegalArgumentException("index " + p + " is not between 0 and " + (n-1));
}
}
}

In the standard algorithm each vertex is given an int id which represents it's place in an array. So this means parent[0] contains the id of the parent of vertex 0 and so.
Really you can consider arrays to be just a very efficient map from int to something else. If you replace the int with a more complex type then you need to start using a Map rather than an array.
So if you want to use a class called Vertex to represent vertices then you need to declare parents and ranks differently:
Map<Vertex,Vertex> parent = new HashMap<>();
Map<Vertex,Rank> rank = new HashMap<>();
You could replace Rank with Byte if you want to stick to the current scheme - though it's probably better encapsulation to use a class.
You'll then end up with code that looks something like:
while (!vertex.equals(parent.get(vertex))) {
parent.put(vertex, parent.get(parent.get(vertex)));
vertex = parent.get(vertex);
}
return vertex;
One thing to be aware of is that if you are going to use Vertex as the key of a map (as I've recommended) then you must implement equals and hashCode methods.

showing array for quickfind

I'm trying to print out the full array id[] after each time the union() method is called. in the main() method. also need to bee able to count the number of times the array is accessed. I am aware that it is accessed twice when calling the connected method, once when calling find() and up to 2n + 1 when calling union(). Please help.
public class QuickFindUF {
private int[] id; // id[i] = component identifier of i
private int count; // number of components
/**
* Initializes an empty union–find data structure with {#code n} sites
* {#code 0} through {#code n-1}. Each site is initially in its own
* component.
*
* #param n the number of sites
* #throws IllegalArgumentException if {#code n < 0}
*/
public QuickFindUF(int n) {
count = n;
id = new int[n];
for (int i = 0; i < n; i++)
id[i] = i;
}
/**
* Returns the number of components.
*
* #return the number of components (between {#code 1} and {#code n})
*/
public int count() {
return count;
}
/**
* Returns the component identifier for the component containing site {#code p}.
*
* #param p the integer representing one site
* #return the component identifier for the component containing site {#code p}
* #throws IndexOutOfBoundsException unless {#code 0 <= p < n}
*/
public int find(int p) {
validate(p);
return id[p];
}
// validate that p is a valid index
private void validate(int p) {
int n = id.length;
if (p < 0 || p >= n) {
throw new IndexOutOfBoundsException("index " + p + " is not between 0 and " + (n-1));
}
}
/**
* Returns true if the the two sites are in the same component.
*
* #param p the integer representing one site
* #param q the integer representing the other site
* #return {#code true} if the two sites {#code p} and {#code q} are in the same component;
* {#code false} otherwise
* #throws IndexOutOfBoundsException unless
* both {#code 0 <= p < n} and {#code 0 <= q < n}
*/
public boolean connected(int p, int q) {
validate(p);
validate(q);
return id[p] == id[q];
}
/**
* Merges the component containing site {#code p} with the
* the component containing site {#code q}.
*
* #param p the integer representing one site
* #param q the integer representing the other site
* #throws IndexOutOfBoundsException unless
* both {#code 0 <= p < n} and {#code 0 <= q < n}
*/
public void union(int p, int q) {
validate(p);
validate(q);
int pID = id[p]; // needed for correctness
int qID = id[q]; // to reduce the number of array accesses
// p and q are already in the same component
if (pID == qID)
return;
for (int i = 0; i < id.length; i++)
if (id[i] == pID) id[i] = qID;
count--;
}
/**
* Reads in a sequence of pairs of integers (between 0 and n-1) from standard input,
* where each integer represents some site;
* if the sites are in different components, merge the two components
* and print the pair to standard output.
*
* #param args the command-line arguments
*/
public static void main(String[] args) {
int n = StdIn.readInt();
QuickFindUF uf = new QuickFindUF(n);
while (!StdIn.isEmpty()) {
int p = StdIn.readInt();
int q = StdIn.readInt();
if (uf.connected(p, q)){
continue;
}
uf.union(p, q);
StdOut.println(p + " " + q);
}
StdOut.println(uf.count() + " components");
}
}

Trying to break down your question...
Part 1:
I'm trying to print out the full array id[] after each time the union
method is called. in the main method.
try to create a string buffer and add the elements while you access it. once you are done and wanna print the array, you can just print the string buffer..
public void union(int p, int q) {
validate(p);
validate(q);
int pID = id[p]; // needed for correctness
int qID = id[q]; // to reduce the number of array accesses
// p and q are already in the same component
if (pID == qID)
return;
StringBuilder sb=new StringBuilder("");
for (int i = 0; i < id.length; i++)
{
sb.append(id[i]) + " "; // you are accessing all id elements anyway; add it to the 'sb' string while you are at it
// seperate each id element with a space
// do it in this place (before the if statement below) if you would like to print the before state of the array
if (id[i] == pID)
id[i] = qID;
//sb.append(id[i]) + " "; // do it here if you would like to print the after state of the array
}
System.out.println(sb);
count--;
}
Part 2:
also need to bee able to count the number of times the array is
accessed. i am aware that it is accessed twice when calling the
connected method, once when calling find() and up to 2n + 1 when
calling union()
For this you need to consider refactoring your code.. since you are dealing with arrays in the same class, you will not be able to count the number of times you access this array.. You can however consider having the Array in a different class as a private variable. create points of access via a getter and/or setter methods. then you can count the number of times you access the array in a reliable way..
hope this helps..

This is more of a general solution for printing an array of primitives in java. You could do it much more simple than this by iterating over the array and printing each member, inserting a newline character once your print loop has completed it's last loop.
int length = Array.getLength(aObject);
Object[] objArr = new Object[length];
for (int i=0; i<length; i++)
objArr[i] = Array.get(aObject, i);
System.out.println(Arrays.toString(objArr))
Try a search next time :)
Print arrays in Java

How do i implement heapSort on my heap?

Okay so this is one of my last assignments and of course this is creating the most stress for me but the only thing keeping me from turning this assignment in is being able to apply heapsort on the Heap that the user inputs their own integer values into an array list which is displayed and here is the code for that:
The heap propgram works fine but the Heapsort doesn't work or i can't use it or make a call for it in the HeapApp class
import java.lang.reflect.Array;
import java.util.ArrayList;
import java.util.NoSuchElementException;
import java.util.Scanner;
/**
*/
public class Heap<T extends Comparable<T>> {
private ArrayList<T> items;
public Heap() {
items = new ArrayList<T>();
}
private void siftUp() {
int k = items.size() - 1;
while (k > 0) {
int p = (k-1)/2;
T item = items.get(k);
T parent = items.get(p);
if (item.compareTo(parent) > 0) {
// swap
items.set(k, parent);
items.set(p, item);
// move up one level
k = p;
} else {
break;
}
}
}
public void insert(T item) {
items.add(item);
siftUp();
}
private void siftDown() {
int k = 0;
int l = 2*k+1;
while (l < items.size()) {
int max=l, r=l+1;
if (r < items.size()) { // there is a right child
if (items.get(r).compareTo(items.get(l)) > 0) {
max++;
}
}
if (items.get(k).compareTo(items.get(max)) < 0) {
// switch
T temp = items.get(k);
items.set(k, items.get(max));
items.set(max, temp);
k = max;
l = 2*k+1;
} else {
break;
}
}
}
public T delete()
throws NoSuchElementException {
if (items.size() == 0) {
throw new NoSuchElementException();
}
if (items.size() == 1) {
return items.remove(0);
}
T hold = items.get(0);
items.set(0, items.remove(items.size()-1));
siftDown();
return hold;
}
public int size() {
return items.size();
}
public boolean isEmpty() {
return items.isEmpty();
}
public String toString() {
return items.toString();
}
//----------------------------------------------------------------------------------------------------------------------------------------
public class Heapsort<T extends Comparable<T>> {
/**
* Sort the array a[0..n-1] by the heapsort algorithm.
*
* #param a the array to be sorted
* #param n the number of elements of a that have valid values
*/
public void sort(T[] a, int n) {
heapsort(a, n - 1);
}
/**
* Sort the ArrayList list by the heapsort algorithm.
* Works by converting the ArrayList to an array, sorting the
* array, and converting the result back to the ArrayList.
*
* #param list the ArrayList to be sorted
*/
public void sort(ArrayList<T> items) {
// Convert list to an array.
#SuppressWarnings("unchecked")
T[] a = (T[]) items.toArray((T[]) Array.newInstance(items.get(0).getClass(), items.size()));
sort(a, items.size()); // sort the array
// Copy the sorted array elements back into the list.
for (int i = 0; i < a.length; i++)
items.set(i, a[i]);
}
/**
* Sort the array a[0..lastLeaf] by the heapsort algorithm.
*
* #param items the array holding the heap
* #param lastLeaf the position of the last leaf in the array
*/
private void heapsort(T[] items, int lastLeaf) {
// First, turn the array a[0..lastLeaf] into a max-heap.
buildMaxHeap(items, lastLeaf);
// Once the array is a max-heap, repeatedly swap the root
// with the last leaf, putting the largest remaining element
// in the last leaf's position, declare this last leaf to no
// longer be in the heap, and then fix up the heap.
while (lastLeaf > 0) {
swap(items, 0, lastLeaf); // swap the root with the last leaf
lastLeaf--; // the last leaf is no longer in the heap
maxHeapify(items, 0, lastLeaf); // fix up what's left
}
}
/**
* Restore the max-heap property. When this method is called, the max-heap
* property holds everywhere, except possibly at node i and its children. When
* this method returns, the max-heap property holds everywhere.
*
* #param items the array holding the heap
* #param i index of the node that might violate the max-heap property
* #param lastLeaf the position of the last leaf in the array
*/
private void maxHeapify(T[] items, int i, int lastLeaf) {
int left = leftChild(i); // index of node i's left child
int right = rightChild(i); // index of node i's right child
int largest; // will hold the index of the node with the largest element
// among node i, left, and right
// Is there a left child and, if so, does the left child have an
// element larger than node i?
if (left <= lastLeaf && items[left].compareTo(items[i]) > 0)
largest = left; // yes, so the left child is the largest so far
else
largest = i; // no, so node i is the largest so far
// Is there a left child and, if so, does the right child have an
// element larger than the larger of node i and the left child?
if (right <= lastLeaf && items[right].compareTo(items[largest]) > 0)
largest = right; // yes, so the right child is the largest
// If node i holds an element larger than both the left and right
// children, then the max-heap property already held, and we need do
// nothing more. Otherwise, we need to swap node i with the larger
// of the two children, and then recurse down the heap from the larger
// child.
if (largest != i) {
swap(items, i, largest);
maxHeapify(items, largest, lastLeaf);
}
}
/**
* Form array a[0..lastLeaf] into a max-heap.
*
* #param items array to be heapified
* #param lastLeaf position of last valid data in a
*/
private void buildMaxHeap(T[] items, int lastLeaf) {
int lastNonLeaf = (lastLeaf - 1) / 2; // nodes lastNonLeaf+1 to lastLeaf are leaves
for (int j = lastNonLeaf; j >= 0; j--)
maxHeapify(items, j, lastLeaf);
}
/**
* Swap two locations i and j in array a.
*
* #param items the array
* #param i first position
* #param j second position
*/
private void swap(T[] items, int i, int j) {
T t = items[i];
items[i] = items[j];
items[j] = t;
}
/**
* Return the index of the left child of node i.
*
* #param i index of the parent node
* #return index of the left child of node i
*/
private int leftChild(int i) {
return 2 * i + 1;
}
/**
* Return the index of the right child of node i.
*
* #param i index of the parent node
* #return the index of the right child of node i
*/
private int rightChild(int i) {
return 2 * i + 2;
}
/**
* For debugging and testing, print out an array.
*
* #param a the array to print
* #param n number of elements of a to print
*/
public void printArray(T[] items, int n) {
for (int i = 0; i < n; i++)
System.out.println(items[i]);
}
}
}
import java.util.Scanner;
public class HeapApp{
/**
* #param args
*/
public static void main(String[] args) {
Heap<Integer> hp = new Heap<Integer>();
Scanner sc = new Scanner(System.in);
System.out.print("Enter next int, 'done' to stop: ");
String line = sc.next();
while (!line.equals("done")) {
hp.insert(Integer.parseInt(line));
System.out.println(hp);
System.out.print("Enter next int, 'done' to stop: ");
line = sc.next();
}
while (hp.isEmpty()) {
//int max = hp.delete();
System.out.println( " " + hp);
}
System.out.println(hp);
System.out.println("After sorting " + hp);
}
}
Now i'm not asking anyone to do it for me but i just need help figuring out how to get the Heapsort to work with the heap PLEASE HELP! The most i have tried is setting the parameters within the Heap sort method.
My question and code is not a duplicate for one this is based on a Heap and heapsort from the user input:
public static void main(String[] args) {
Heap<Integer> hp = new Heap<Integer>();
Scanner sc = new Scanner(System.in);
System.out.print("Enter next int, 'done' to stop: ");
String line = sc.next();
while (!line.equals("done")) {
hp.insert(Integer.parseInt(line));
System.out.println(hp);
System.out.print("Enter next int, 'done' to stop: ");
line = sc.next();
}
Also the entire Heap is implemented using an ArrayList:
public class Heap<T extends Comparable<T>> {
private ArrayList<T> items;
public Heap() {
items = new ArrayList<T>();
}

Add a sort method to your Heap class like this:
public void sort()
{
new Heapsort<T>().sort(items);
}
Then in your HeapApp class call the sort method before printing it out:
hp.sort();
System.out.println("After sorting " + hp);

Testing My Heap

1.) I'm having difficulty testing me heap class. When I try to print my heap, it's giving me code instead of the array. I tried using toString() and DeeptoString() and neither worked.
2.) In my updateValue method. I realize that it doesn't know what to do once it's reached a node that has no children. It shoots me an index out of bounds. I think an easy way to check for that is to see if the left and right child index is greater or equal to the size. If it is...I guess I want it to do nothing.
Code below:
import java.util.NoSuchElementException;
public class MaxHeap {
public int[] heap;
private int size;
public static void main(String args[]){
MaxHeap testHeap = new MaxHeap(5);
testHeap.add(5);
testHeap.add(4);
testHeap.add(3);
testHeap.add(2);
testHeap.add(1);
System.out.println((testHeap));
testHeap.maxHeapify(0);
System.out.println(testHeap);
testHeap.extractMax();
System.out.println(testHeap);
testHeap.updateValue(1, 6);
System.out.println(testHeap);
}
/**
* _Part 0: Implement this constructor._
*
* Creates a new Heap instance initially capable of storing the specified
* number of elements.
*
* #param initialsize the initial size of the heap array
*/
public MaxHeap(int initialsize) {
// TODO: implement this
heap = new int [initialsize];
}
/**
* Provides read-only access to the heap's size. Size here is the number
* of *valid* items in the heap
*
* #return the number of items in the heap
*/
public int size() {
return size;
}
/**
* _Part 1: Implement this method._
*
* Adds an item to the heap maintaining the heap condition.
*
* An item is added to the next available slot in the array, and then
* bubbled up to its parent until the heap condition is restored.
*
* #param item
* the new int to add to the heap
*/
public void add(int item) {
// TODO: implement this
int parentIndex = (size-1)/2;
int childIndex = size;
heap[size] = item; //put it at the end
while (heap[parentIndex] < heap[childIndex] && parentIndex >= 0){ //check to make sure it's a proper heap
int temp = heap[parentIndex]; //start percolating up
heap[parentIndex] = heap[childIndex];
heap[childIndex] = temp;
childIndex = parentIndex;
parentIndex = (parentIndex-1)/2;
}
size+=1;
}
/**
* _Part 2: Implement this method._
*
* Restore the heap condition to a tree rooted at the specified index when
* the left and right subtrees obey the heap condition, but the root may
* not. This is also known as "Bubble Down".
*
* That is, given the specified index, and the fact that the left and
* right subtrees are heaps (if they exist), ensure that the largest of
* these three nodes get's swapped with the root, and then recursively
* restore the heap condition for the subtree with the element that was
* moved from the root.
*
* In essence, this method bubbles a value down from the root until the
* heap condition is restored.
*
* #param index
* the root tree to restore
*/
public void maxHeapify(int index) {
// TODO: implement this
int left, right, large, tmp; // declare variables left child, right child, largest node, temp for swap
int i = index;
left = 2 * i + 1; // left child
right = 2 * i + 2; // right child
if(left <= heap.length-1 && heap[left] > heap[i]) // find smallest child
large = left; // save index of smaller child
else
large = i;
if(right <= heap.length-1 && heap[right] > heap[large])
large = right; // save index of smaller child
if(large != i) // swap and percolate, if necessary
{
tmp = heap[i]; // exchange values at two indices
heap[i] = heap[large];
heap[large] = tmp;
maxHeapify(large);}
}
/**
* _Part 3: Implement this method._
*
* Removes the maximum valued item from the heap and restores the heap
* condition. If the heap is empty, this method should throw
* a NoSuchElementException
*
* This function is performed by:
*
* 1. removing the root of the heap
* 2. placing element from the end of the heap at the root
* 3. calling maxHeapify to restore the heap condition
* 4. making sure the size is updated
*
* #return the highest valued item from the heap
* #throws NoSuchElementException if called on an empty heap
*/
public int extractMax() {
// TODO: implement this
if (size < 1){
//throw no such element
throw new NoSuchElementException();
}
int max = heap[0];
heap[0] = heap[size-1];
size = size-1;
maxHeapify(0);
return max;
}
/**
* _Part 4: Implement this method._
*
* Checks to make sure that the *max* heap condition is upheld on a
* given array of integers.
*
* HINT: Full credit will be given on this one if you implement this
* method as a *recursive* function. It will probably make sense to
* create a private method that takes another argument (e.g., the index
* of the heap's root) to indicate where the checking should begin.
*
* My private method has the following signature:
* private static boolean check(int [] arry, int rootindx, int sz)
*
*
* #param array
* the array of data to check
* #param size
* the number of elements 'in' the heap (starting at index 0)
* #return true if the *max* heap condition is upheld
*/
public static boolean checkHeapCondition(int[] array, int size) {
// TODO: implement this
if (array != null)
return helpCheck(array,0, size);
return false;
}
//Helper method
private static boolean helpCheck(int[] arr, int i, int size) {
//Base case
if (i == size-1)
return true;
//2nd base case
if (2*i+1 >= size){
return true;
}
// check if a parent's value is larger or equal to both of
// its left child and right child
else if (arr[i] >= arr[2*i + 1] && arr[i] >= arr[2*i + 2])
return (helpCheck(arr, 2*i + 1, size) && helpCheck(arr, 2*i + 2, size));
else
return false;
}
/**
* _Part 5: Implement this method._
*
* Changes the value of an element in the heap. And bubbles the value
*
* #param index
* the index of the item to be modified
* #param newValue
* the new value of the specified item
* #return the old value of that item
* #throws IndexOutOfBoundsException if the specified index is invalid
*/
public int updateValue(int index, int newValue) {
// TODO: implement this
int parent = (index-1)/2;
int leftChild = (2*index +1);
int rightChild = (2*index+2);
if (heap == null || index >= size ){
throw new IndexOutOfBoundsException();}
int oldValue = heap[index];
heap[index] = newValue;
while (heap[parent] < heap[index] && parent >= 0 ){
int temp = heap[parent];
heap[parent] = heap[index];
heap[index] = heap[temp];
index = parent;
parent = (parent-1)/2;
}
//We need to check to see if the children don't exist
if (heap[leftChild] > heap[index] || heap[rightChild] > heap[index]){
maxHeapify(index);
return oldValue;
}
else return oldValue;
}
}

The method System.out.print(Object o) uses the parameter Object's toString() method. If you have not overridden this method to provide custom behavior, it will use the parent method (in this case, the default Object.toString()).
To print the value of MaxHeap, override it's toString method, returning a String that you want to represent an instance of this class. For instance:
#Override
public String toString(){
return java.util.Arrays.toString(heap);
}

I have found what's wrong with my updateValue. I created another if statement to check if the index value of the left and right child were within bounds. Thanks for all your help.

My program says identifier is expected

I'm trying to make a string binary search program. Trouble is I don't remember a straight forward way to convert a string array into a Integer array.
I've written a long and complicated way to convert them. However Netsbeans is saying my string array identifier is expected.
/*
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* and open the template in the editor.
*/
package javaapplication3;
/**
*
* #author Ivan Beazer
*/
import java.io.*;
/**
This program demonstrates the search method in
the IntBinarySearcher class.
*/
public class BinarySearchTest
{
private static String aString;
// Convert string array to string
public static String arrayToString2(String[] words, String aString)
{
StringBuilder result = new StringBuilder();
if (words.length > 0)
{
result.append(words[0]);
for (int i=1; i<words.length; i++)
{
result.append(aString);
result.append(words[i]);
}
}
return result.toString();
}
public static void main(String [] args) throws IOException
{
int result, searchValue;
String input;
// A String array of words to search.
// This is the error. netbeans says identifier is expected.
String[] words = {"Jake", "Jerry". "Bill", "Lousie", "Goku", "Ivan", "John", "sarah", "kim"};
// convert string to int array
int[] numbers = new int[aString.length()];
for(int i=0; i<aString.length(); i++)
numbers[i] = Character.getNumericValue(aString.charAt(i));
// Create the console input objects.
InputStreamReader reader =
new InputStreamReader(System.in);
BufferedReader keyboard =
new BufferedReader(reader);
// First we must sort the array in ascending order.
IntQuickSorter.quickSort(numbers);
do
{
// Get a value to search for.
System.out.print("Enter a value to search for: ");
input = keyboard.readLine();
searchValue = Integer.parseInt(input);
// Search for the value
result = IntBinarySearcher.search(numbers, searchValue);
// Display the results.
if (result == -1)
System.out.println(searchValue + " was not found.");
else
{
System.out.println(searchValue + " was found at " +
"element " + result);
}
// Does the user want to search again?
System.out.print("Do you want to search again? (Y or N): ");
input = keyboard.readLine();
} while (input.charAt(0) == 'y' || input.charAt(0) == 'Y');
}
}
/*
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* and open the template in the editor.
*/
package javaapplication3;
/**
*
* #author Devon B
*/
/**
The IntBinarySearcher class provides a public static
method for performing a binary search on an int array.
*/
public class IntBinarySearcher
{
/**
The search method performs a binary search on an int
array. The array is searched for the number passed to
value. If the number is found, its array subscript is
returned. Otherwise, -1 is returned indicating the
value was not found in the array.
#param array The array to search.
#param value The value to search for.
*/
public static int search(int[] array, int value)
{
int first; // First array element
int last; // Last array element
int middle; // Mid point of search
int position; // Position of search value
boolean found; // Flag
// Set the inital values.
first = 0;
last = array.length - 1;
position = -1;
found = false;
// Search for the value.
while (!found && first <= last)
{
// Calculate mid point
middle = (first + last) / 2;
// If value is found at midpoint...
if (array[middle] == value)
{
found = true;
position = middle;
}
// else if value is in lower half...
else if (array[middle] > value)
last = middle - 1;
// else if value is in upper half....
else
first = middle + 1;
}
// Return the position of the item, or -1
// if it was not found.
return position;
}
}
/*
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
package javaapplication3;
/**
*
* #author Devon B
*/
/**
The IntQuickSorter class provides a public static
method for performing a QuickSort on an int array.
*/
public class IntQuickSorter
{
/**
The quickSort method calls the doQuickSort method
to sort an int array.
#param array The array to sort.
*/
public static void quickSort(int array[])
{
doQuickSort(array, 0, array.length - 1);
}
/**
The doQuickSort method uses the QuickSort algorithm
to sort an int array.
#param array The array to sort.
#param start The starting subscript of the list to sort
#param end The ending subscript of the list to sort
*/
private static void doQuickSort(int array[], int start, int end)
{
int pivotPoint;
if (start < end)
{
// Get the pivot point.
pivotPoint = partition(array, start, end);
// Sort the first sub list.
doQuickSort(array, start, pivotPoint - 1);
// Sort the second sub list.
doQuickSort(array, pivotPoint + 1, end);
}
}
/**
The partiton method selects a pivot value in an array
and arranges the array into two sub lists. All the
values less than the pivot will be stored in the left
sub list and all the values greater than or equal to
the pivot will be stored in the right sub list.
#param array The array to partition.
#param start The starting subscript of the area to partition.
#param end The ending subscript of the area to partition.
#return The subscript of the pivot value.
*/
private static int partition(int array[], int start, int end)
{
int pivotValue; // To hold the pivot value
int endOfLeftList; // Last element in the left sub list.
int mid; // To hold the mid-point subscript
// Find the subscript of the middle element.
// This will be our pivot value.
mid = (start + end) / 2;
// Swap the middle element with the first element.
// This moves the pivot value to the start of
// the list.
swap(array, start, mid);
// Save the pivot value for comparisons.
pivotValue = array[start];
// For now, the end of the left sub list is
// the first element.
endOfLeftList = start;
// Scan the entire list and move any values that
// are less than the pivot value to the left
// sub list.
for (int scan = start + 1; scan <= end; scan++)
{
if (array[scan] < pivotValue)
{
endOfLeftList++;
swap(array, endOfLeftList, scan);
}
}
// Move the pivot value to end of the
// left sub list.
swap(array, start, endOfLeftList);
// Return the subscript of the pivot value.
return endOfLeftList;
}
/**
The swap method swaps the contents of two elements
in an int array.
#param The array containing the two elements.
#param a The subscript of the first element.
#param b The subscript of the second element.
*/
private static void swap(int[] array, int a, int b)
{
int temp;
temp = array[a];
array[a] = array[b];
array[b] = temp;
}
}

Look after the string "Jerry":
String[] words = {"Jake", "Jerry". "Bill", "Lousie", "Goku", "Ivan", "John", "sarah", "kim"};
You have a dot ( . ) instead of a comma ( , )