Skip to main content

Java Program To Implement Self-Balancing Binary Search Tree.

import java.util.Scanner;

class SBBSTNode {
SBBSTNode left, right;
int data;
int height;

public SBBSTNode() {
left = null;
right = null;
data = 0;
height = 0;
}

public SBBSTNode(int n) {
left = null;
right = null;
data = n;
height = 0;
}}

class SelfBalancingBST {
private SBBSTNode root;    

public SelfBalancingBST() {
root = null;
}

public boolean isEmpty() {
return root == null;
}

public void clear() {
root = null;
}

public void insert(int data) {
root = insert(data, root);
}

private int height(SBBSTNode t ) {
return t == null ? -1 : t.height;
}

private int max(int lhs, int rhs) {
return lhs > rhs ? lhs : rhs;
}

private SBBSTNode insert(int x, SBBSTNode t) {
if (t == null)
t = new SBBSTNode(x);

else if (x < t.data) {
t.left = insert( x, t.left );

if (height( t.left ) - height( t.right ) == 2)
if (x < t.left.data)
t = rotateWithLeftChild( t );

else
t = doubleWithLeftChild( t );
}

else if (x > t.data) {
t.right = insert( x, t.right );

if (height( t.right ) - height( t.left ) == 2)
if (x > t.right.data)
t = rotateWithRightChild( t );

else
t = doubleWithRightChild( t );
}

else
;  // duplicate; do nothing
t.height = max( height( t.left ), height( t.right ) ) + 1;
return t;
}

private SBBSTNode rotateWithLeftChild(SBBSTNode k2) {
SBBSTNode k1 = k2.left;
k2.left = k1.right;
k1.right = k2;

k2.height = max( height( k2.left ), height( k2.right ) ) + 1;
k1.height = max( height( k1.left ), k2.height ) + 1;
return k1;
}

private SBBSTNode rotateWithRightChild(SBBSTNode k1) {
SBBSTNode k2 = k1.right;
k1.right = k2.left;

k2.left = k1;
k1.height = max( height( k1.left ), height( k1.right ) ) + 1;
k2.height = max( height( k2.right ), k1.height ) + 1;
return k2;
}

private SBBSTNode doubleWithLeftChild(SBBSTNode k3) {
k3.left = rotateWithRightChild( k3.left );
return rotateWithLeftChild( k3 );
}

private SBBSTNode doubleWithRightChild(SBBSTNode k1) {
k1.right = rotateWithLeftChild( k1.right );
return rotateWithRightChild( k1 );
}

public int countNodes() {
return countNodes(root);
}

private int countNodes(SBBSTNode r) {

if (r == null)
return 0;

else {
int l = 1;
l += countNodes(r.left);
l += countNodes(r.right);
return l;
}}

public boolean search(int val) {
return search(root, val);
}

private boolean search(SBBSTNode r, int val) {
boolean found = false;

while ((r != null) && !found) {
int rval = r.data;

if (val < rval)
r = r.left;

else if (val > rval)
r = r.right;

else {
found = true;
break;
}

found = search(r, val);
}
return found;
}

public void inorder() {
inorder(root);
}

private void inorder(SBBSTNode r) {
if (r != null) {
inorder(r.left);

System.out.print(r.data +" ");
inorder(r.right);
}}

public void preorder() {
preorder(root);
}

private void preorder(SBBSTNode r) {
if (r != null) {
System.out.print(r.data +" ");

preorder(r.left);
preorder(r.right);
}}

public void postorder() {
postorder(root);
}

private void postorder(SBBSTNode r) {
if (r != null) {
postorder(r.left);

postorder(r.right);
System.out.print(r.data +" ");
}}}

public class BSTTest {
public static void main(String[] args) {
Scanner scan = new Scanner(System.in);

SelfBalancingBST sbbst = new SelfBalancingBST();
char ch;

do {
System.out.println("\nSelf Balancing Binary Search Tree Operations: \n");
System.out.println("1. Insert ");
System.out.println("2. Search");
System.out.println("3. Count Nodes");
System.out.println("4. Check Empty");
System.out.println("5. Clear Tree");
System.out.print("Enter Your Choice: ");

int choice = scan.nextInt();
switch (choice) {

case 1 :
System.out.print("Enter An Integer To Insert: ");
sbbst.insert( scan.nextInt() );
break;

case 2 :
System.out.print("Enter An Integer To Search: ");
System.out.println("Search Result : "+ sbbst.search( scan.nextInt() ));
break;

case 3 :
System.out.println("Nodes = "+ sbbst.countNodes());
break;

case 4 :
System.out.println("Empty Status = "+ sbbst.isEmpty());
break;

case 5 :
System.out.println("\nTree Cleared");
sbbst.clear();
break;

default :
System.out.println("Wrong Entry ");
break;
}

System.out.print("\nPost Order : ");
sbbst.postorder();
System.out.print("\nPre Order : ");
sbbst.preorder();
System.out.print("\nIn Order : ");
sbbst.inorder();

System.out.println("\n\nDo You Want To Continue (Type Y OR N): ");
ch = scan.next().charAt(0);
} while (ch == 'Y'|| ch == 'y');
scan.close();

}}
Labels:

Popular posts from this blog

Screenshots from Windows 1.01

Windows 1.0 is a graphical personal computer operating environment developed by Microsoft, released on November 20, 1985, as the first version of the Microsoft Windows line. Version 1.01 , also released in 1985, was the first point-release after Windows 1.00.   Screenshots from Windows 1.01: ⇰ Desktop  First Run Empty Desktop Desktop With Applications ⇰  Office Applications Notepad Text Editor Calculator Calendar Clock Address Book ⇰  Multimedia Applications Media player, CD player, Volume level, and Sound: This GUI doesn’t have these features. ⇰  Networking Applications Terminal Phone Dialer: This GUI doesn’t have this feature. ⇰  Internet Applications Browser, and Mail: This GUI doesn’t have these features. ⇰  Accessibility Applications Keyboard Map:  This GUI doesn’t have this feature. ⇰  Settings Desktop themes,  Display,  S...
Read more

C++ Program To Implement Casino Number Guessing Game.

#include <iostream> #include <string> #include <cstdlib> #include <ctime> using namespace std; void drawLine(int n, char symbol); void rules(); int main() { string playerName; int amount; int bettingAmount; int guess; int dice; char choice; srand(time(0)); drawLine(70,'_'); cout << "\n\n\n\t\tCASINO GAME\n\n\n\n"; drawLine(70,'_'); cout << "\n\nEnter Your Name : "; getline(cin, playerName); cout << "\n\nEnter Deposit Amount To Play Game : $"; cin >> amount;
Read more

Introduction To Algorithms, 3rd Edition

Before there were computers, there were algorithms. But now that there are computers, there are even more algorithms, and algorithms lie at the heart of computing. This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. In this book, the authors tried to keep explanations elementary without sacrificing depth of coverage or mathematical rigor. Each chapter presents an algorithm, a design technique, an application area, or a related topic. Algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The book contains 244 figures — many with multiple parts — illustrating how the algorithms work. It also includes careful analysis of the running times of all algorithms. In this third edition, the entire book once again updated including changes cove...
Read more

The C Programming Language, 2nd Edition*

This book is meant to help the reader learn how to program in C. It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. For evolution of the planet earth and our modern understanding of biology, there was Darwin's Origin of the Species. For mathematics, there was Newton's Philosophiæ Naturalis Principia Mathematica. Well, for the internet, for Facebook, for LinkedIn, Twitter, Instgram, Snapchat, WhatsApp, Pornhub and even the odious website for Justin Bieber would never have existed without Kernigan and Ritchie (more affectionately known as K&R)'s classic, The C Programming Language. What language was TCP/IP written in? C. What language inspired both C++ and Java (and the abominable C#)? C. What language are most libraries on most operating systems written in if not assembler? C. ...
Read more