Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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- Tree Define a class called TreeNode containing three data fields: element, left and right. The element is a generic type. Create constructors, setters and getters as appropriate. Define a class called BinaryTree containing two data fields: root and numberElement. Create constructors, setters and getters as appropriate. Define a method balanceCheck to check if a tree is balanced. A tree being balanced means that the balance factor is -1, 0, or 1.arrow_forward/** * This class will use Nodes to form a linked list. It implements the LIFO * (Last In First Out) methodology to reverse the input string. * **/ public class LLStack { private Node head; // Constructor with no parameters for outer class public LLStack( ) { // to do } // This is an inner class specifically utilized for LLStack class, // thus no setter or getters are needed private class Node { private Object data; private Node next; // Constructor with no parameters for inner class public Node(){ // to do // to do } // Parametrized constructor for inner class public Node (Object newData, Node nextLink) { // to do: Data part of Node is an Object // to do: Link to next node is a type Node } } // Adds a node as the first node element at the start of the list with the specified…arrow_forward#include <iostream> usingnamespace std; class Queue { int size; int* queue; public: Queue(){ size = 0; queue = new int[100]; } void add(int data){ queue[size]= data; size++; } void remove(){ if(size ==0){ cout <<"Queue is empty"<<endl; return; } else{ for(int i =0; i < size -1; i++){ queue[i]= queue[i +1]; } size--; } } void print(){ if(size ==0){ cout <<"Queue is empty"<<endl; return; } for(int i =0; i < size; i++){ cout<<queue[i]<<" <- "; } cout << endl; } //your code goes here }; int main(){ Queue q1; q1.add(42); q1.add(2); q1.add(8); q1.add(1); Queue q2; q2.add(3); q2.add(66); q2.add(128); q2.add(5); Queue q3 = q1+q2; q3.print();…arrow_forward
- class BSTNode { int key; BSTNode left, right; public BSTNode(int item) { key = item; left = right = null; } } class BST_Tree { BSTNode root; BST_Tree() { // Constructor root = null; } boolean search(int key){ return (searchRec(root, key) != null); } public BSTNode searchRec(BSTNode root, int key) { if (root==null || root.key==key) return root; if (root.key > key) return searchRec(root.left, key); return searchRec (root.right, key); } void deleteKey(int key) { root = deleteRec(root, key); } /* A recursive function to insert a new key in BST */ BSTNode deleteRec(BSTNode root, int key) { /* Base Case: If the tree is empty */ if (root == null) return root; /* Otherwise, recur down the tree */ if (key < root.key)…arrow_forward1 Assume some Node class with info & link fields. Complete this method in class List that returns a reference to the node containing the data item in the argument find This, Assume that find this is in the list public class List { protected Node head; protected int size; fublic Public Node find (char find This)arrow_forwardclass BSTNode { int key; BSTNode left, right; public BSTNode(int item) { key = item; left = right = null; } } class BST_Tree { BSTNode root; BST_Tree() { // Constructor root = null; } boolean search(int key){ return (searchRec(root, key) != null); } public BSTNode searchRec(BSTNode root, int key) { if (root==null || root.key==key) return root; if (root.key > key) return searchRec(root.left, key); return searchRec (root.right, key); } void deleteKey(int key) { root = deleteRec(root, key); } /* A recursive function to insert a new key in BST */ BSTNode deleteRec(BSTNode root, int key) { /* Base Case: If the tree is empty */ if (root == null) return root; /* Otherwise, recur down the tree */ if (key < root.key)…arrow_forward
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- 1.Assume some Node class with info link fields . Complete this method in class List that returns a reference to the node containing the data item in the argument findThis, Assume that findThis is in the list public class list { protected Node head ; Protected int size ; Public Node find (char find this) { Node curr = head; while(curr != null) { if(curr.info == findThis) return curr; curr = curr.link; } return -1; } }arrow_forwardUsing the graph in the question: Write Java code to create an Adjacency Matrix M to represent the graph. Write Java code to create an Adjacency List L to represent the graph.arrow_forwardpackage circularlinkedlist;import java.util.Iterator; public class CircularLinkedList<E> implements Iterable<E> { // Your variablesNode<E> head;Node<E> tail;int size; // BE SURE TO KEEP TRACK OF THE SIZE // implement this constructorpublic CircularLinkedList() {} // I highly recommend using this helper method// Return Node<E> found at the specified index// be sure to handle out of bounds casesprivate Node<E> getNode(int index ) { return null;} // attach a node to the end of the listpublic boolean add(E item) {this.add(size,item);return false; } // Cases to handle// out of bounds// adding to empty list// adding to front// adding to "end"// adding anywhere else// REMEMBER TO INCREMENT THE SIZEpublic void add(int index, E item){ } // remove must handle the following cases// out of bounds// removing the only thing in the list// removing the first thing in the list (need to adjust the last thing in the list to point to the beginning)// removing the last…arrow_forward
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