Java Program to Implement Leftist Heap
A leftist heap is a priority Queue implemented with a binary heap. Every node has a sValue which is at the nearest Distance to the other nodes. Now we will write a java program for performing certain operations on a leftist Heap (Inorder Traversal) like insert, delete, clear, and check for empty.
A leftist tree is a binary tree with properties:
- Normal Min Heap Property : key(i) >= key(parent(i))
- Heavier on left side : dist(right(i)) <= dist(left(i)). Here, dist(i) is the number of edges on the shortest path from node i to a leaf node in extended binary tree representation (In this representation, a null child is considered as an external or leaf node). The shortest path to a descendant external node is through the right child. Every subtree is also a leftist tree and dist( i ) = 1 + dist( right( i ) ).
Example: The below leftist tree is presented with its distance calculated for each node with the procedure mentioned above. The rightmost node has a rank of 0 as the right subtree of this node is null and its parent has a distance of 1 by dist( i ) = 1 + dist( right( i )). The same is followed for each node and their s-value( or rank) is calculated.
From the above second property, we can draw two conclusions :
- The path from the root to the rightmost leaf is the shortest path from the root to the leaf.
- If the path to the rightmost leaf has x nodes, then the leftist heap has at least 2x – 1 node. This means the length of the path to the rightmost leaf is O(log n) for a leftist heap with n nodes.
Example:
LEFTIST HEAP Functions to do 2. delete min 3. check empty 4. clear 2 Inorder Traversal: 53 52 54 If you wish to continue type Y or y y Functions to do 2. delete min 3. check empty 4. clear 3 Empty status = false Inorder Traversal: 53 52 54 If you wish to continue type Y or y y Functions to do 2. delete min 3. check empty 4. clear 4 Inorder Traversal: If you wish to continue type Y or y
Approach:
- We will first take a class Node and create its constructor and various parameters.
- Then we will create a class LeftHeap, In this class, we will create various methods and try to perform their operations.
- We will create a constructor, where we keep the root null.
- We will create a method isEmpty() to check if the Heap is empty.
- We will create a method clear(), to clear the heap.
- We create a method to merge:
- Here we need to take two nodes, and then we would check for both of them being empty
- Then we would set the values right or left according to our convenience.
- This function is used to find the minimum element in the heap
- Then we declare a function named del().
- This function is used to find the minimum number, and then we remove it.
- Then we declare the main function and call the function and do operations performed with the help of a switch case. The operations performed are whether to check if it is empty or to empty the heap or delete the minimum element.
Implementation:
Java
// Java Program to Implement Leftist Heap// Declare all librariesimport java.io.*;import java.util.Scanner;// Class Nodeclass Node { // elements, and sValue are the variables in class Node int element, sValue; // class has two parameters Node left, right; public Node(int element) { this(element, null, null); } // Function Node where we are using this keyword // Which will help us to avoid confusion if we are having // same elements public Node(int element, Node left, Node right) { this.element = element; this.left = left; this.right = right; this.sValue = 0; }}// Class Left heapclass LeftHeap { // Now parameter is created named head. private Node head; // Its constructor is created named left heap // Returns null public LeftHeap() { head = null; } // Now we will write function to check if the list is // empty public boolean isEmpty() { // If head is null returns true return head == null; } // Now we will write a function clear public void clear() { // We will put head is null head = null; } // Now let us create a function merge which will // help us merge public void merge(LeftHeap rhs) { // If the present function is rhs // then we return it if (this == rhs) return; // Here we call the function merge // And make rhs is equal to null head = merge(head, rhs.head); rhs.head = null; } // Function merge with two Nodes a and b public Node merge(Node a, Node b) { // If A is null // We return b if (a == null) return b; // If b is null // we return A if (b == null) return a; // If we put a element greater than b element if (a.element > b.element) { // We write the swap code Node temp = a; a = b; b = temp; } // Now we call the function merge to merge a and b a.right = merge(a.right, b); // If a is null we swap right with left and empty // right if (a.left == null) { a.left = a.right; a.right = null; } // else // if value in a is less than the svalue of right // If the condition is satisfied , we swap the left // with right else { if (a.left.sValue < a.right.sValue) { Node temp = a.left; a.left = a.right; a.right = temp; } // we store the value in a s Value of right // SValue a.sValue = a.right.sValue + 1; } // We now return the value of a return a; } // Function insert public void insert(int a) { // This root will help us insert a new variable head = merge(new Node(a), head); } // The below function will help us delete minimum // function present in the Heap public int del() { // If is empty return -1 if (isEmpty()) return -1; // Now we will store the element in variable and // Call the merge function to del that is converging // to head then we return min int min = head.element; head = merge(head.left, head.right); return min; } // Function order // will print the starting and ending points in order. public void order() { order(head); System.out.println(); } // Function order with Node r // If r not equal to r // It prints all the elements iterating from order left // to right private void order(Node r) { if (r != null) { order(r.left); System.out.print(r.element + " "); order(r.right); } }}// Class gfgclass GFG { public static void main(String[] args) { // Creating the scanner object Scanner sc = new Scanner(System.in); System.out.println("LEFTIST HEAP"); // Creating object for class LeftHeap LeftHeap h = new LeftHeap(); // Char ch char ch; // Now taking the loop do { // Now writing down all the functions System.out.println("Functions to do"); System.out.println("1. insert"); System.out.println("2. delete min"); System.out.println("3. check empty"); System.out.println("4. clear"); // Scanning the choice to be used in switch int choice = sc.nextInt(); // Using switch switch (choice) { // Case 1 // to insert the elements in the heap // call the insert func case 1: System.out.println("Enter integer element to insert"); h.insert(sc.nextInt()); break; // Delete the minimum element in the func case 2: h.del(); break; // To check the empty status of the heap case 3: System.out.println("Empty status = " + h.isEmpty()); break; // Cleaning the heap case 4: h.clear(); break; default: System.out.println("Wrong entry"); break; } // Prints the inorder traversal // Calling the func System.out.print("\n Inorder Traversal: "); h.order(); // Whether to continue or not System.out.println("\n If you wish to continue type Y or y"); ch = sc.next().charAt(0); } // Closing of loop while (ch == 'Y' || ch == 'y'); }} |
Output:
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