Binary Search Tree

package me.premaseem.datastructure.binarySearchTree; class Node { Node left, right; int data; public Node(int d) { data = d; } } public class BinarySearchTree { Node root; // Driver Program to test above functions public static void main(String[] args) { BinarySearchTree tree = new BinarySearchTree(); /* Let us create following BST 50 / \ 30 70 / \ / \ 20 40 60 80 */ tree.insert(50); tree.insert(30); tree.insert(20); tree.insert(40); tree.insert(70); tree.insert(60); tree.insert(80); // print inorder traversal of the BST tree.inOrder(); tree.search(100); tree.search(30); tree.delete(30); tree.delete(30); tree.delete(50); System.out.println(); tree.inOrder(); } private void delete(int d) { root = deleteR(root,d); } private Node deleteR(Node n ,int d) { if(n == null){ return n; } if(d < n.data){ n.left = deleteR(n.left,d); }else if(d > n.data){ n.right = deleteR(n.right,d); } else { // 1 or all nodes are null if(n.left == null){ return n.right; }else if (n.right == null){ return n.left; } n.data = findMin(n.right); n.right = deleteR(n.right,n.data); // if both node are not null } return n; } int findMin(Node n){ int min = n.data; if(n.left != null){ min = n.data; n = n.left; } return min; } private void insert(int d) { root = insertR(root,d); } private Node insertR(Node n ,int d) { if(n == null){ return new Node(d); } if(d < n.data){ n.left = insertR(n.left, d); }else { n.right = insertR(n.right, d); } return n; } void inOrder(){ inOrderR(root); } private void inOrderR(Node n) { if(n == null){ return; } inOrderR(n.left); System.out.print(" >> "+ n.data); inOrderR(n.right); } void search(int d){ searchR(root, d); } private void searchR(Node n, int d) { if(n == null){ System.out.println("not found "); return; } if(d == n.data){ System.out.println("Element found 🙂 "); return; } if(d < n.data){ searchR(n.left, d); }else { searchR(n.right,d); } } } 
Github Code Repository for coding challenge: https://github.com/premaseem/AlgoAndDataStructureInJava/blob/master/src/me/premaseem/datastructure/binarySearchTree/BinarySearchTree.java  Youtube playlist for more video like this: 
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Selection sort explained

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Bubble sort algorithm explained

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Insertion sort explained in detail

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Circular queue implementation using linked list in java

#datastructure #codingchallenge 

Need to build a circular queue, first item will get overwritten when the queue overflows or the capacity finishes. In normal sense, newest item would replace the oldest item.  

Circular Queue is also a linear data structure, which follows the principle of FIFO(First In First Out),

but instead of ending the queue at the last position, it again starts from the first position after the last,

hence making the queue behave like a circular data structure.

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HashMap implementation in Java

Coding Challenge: convert linked list to Array in Java

Coding Challenge: Insert element in sorted order in linked list in Java

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doubly linked list implementation in java

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Singly Linked list implementation in Java

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