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showing results for - "searching in binary search tree"

Leonardo

04 Mar 2016

```
1/* This is just the seaching function you need to write the required code.
2 Thank you. */
3
4void searchNode(Node *root, int data)
5{
6 if(root == NULL)
7 {
8 cout << "Tree is empty\n";
9 return;
10 }
11
12 queue<Node*> q;
13 q.push(root);
14
15 while(!q.empty())
16 {
17 Node *temp = q.front();
18 q.pop();
19
20 if(temp->data == data)
21 {
22 cout << "Node found\n";
23 return;
24 }
25
26 if(temp->left != NULL)
27 q.push(temp->left);
28 if(temp->right != NULL)
29 q.push(temp->right);
30 }
31
32 cout << "Node not found\n";
33}
```

Mariella

29 Jan 2020

```
1Binary Search Tree is a node-based binary tree data structure which has the following properties:
2
3The left subtree of a node contains only nodes with keys lesser than the node’s key.
4The right subtree of a node contains only nodes with keys greater than the node’s key.
5The left and right subtree each must also be a binary search tree.
6
```

Daniela

17 Jan 2018

```
1public class BinarySearchTree {
2
3 public class Node {
4 //instance variable of Node class
5 public int data;
6 public Node left;
7 public Node right;
8
9 //constructor
10 public Node(int data) {
11 this.data = data;
12 this.left = null;
13 this.right = null;
14 }
15 }
16
17 // instance variable
18 public Node root;
19
20 // constructor for initialise the root to null BYDEFAULT
21 public BinarySearchTree() {
22 this.root = null;
23 }
24
25 // insert method to insert the new Date
26 public void insert(int newData) {
27 this.root = insert(root, newData);
28 }
29
30 public Node insert(Node root, int newData) {
31 // Base Case: root is null or not
32 if (root == null) {
33 // Insert the new data, if root is null.
34 root = new Node(newData);
35 // return the current root to his sub tree
36 return root;
37 }
38 // Here checking for root data is greater or equal to newData or not
39 else if (root.data >= newData) {
40 // if current root data is greater than the new data then now process the left sub-tree
41 root.left = insert(root.left, newData);
42 } else {
43 // if current root data is less than the new data then now process the right sub-tree
44 root.right = insert(root.right, newData);
45 }
46 return root;
47 }
48
49 // method for search the data , is data is present or not in the tree ?
50 public boolean search(int data) {
51 return search(this.root, data);
52 }
53
54 private boolean search(Node root, int data) {
55 if (root == null) {
56 return false;
57 } else if (root.data == data) {
58 return true;
59 } else if (root.data > data) {
60 return search(root.left, data);
61 }
62 return search(root.right, data);
63 }
64
65 //Traversal
66 public void preorder() {
67 preorder(root);
68 System.out.println();
69 }
70
71 public void preorder(Node root) {
72 if (root == null) {
73 return;
74 }
75 System.out.print(root.data + " ");
76 preorder(root.left);
77 preorder(root.right);
78 }
79
80 public static void main(String[] args) {
81 // Creating the object of BinarySearchTree class
82 BinarySearchTree bst = new BinarySearchTree();
83 // call the method insert
84 bst.insert(8);
85 bst.insert(5);
86 bst.insert(9);
87 bst.insert(3);
88 bst.insert(7);
89 bst.preorder();
90 System.out.println(bst.search(7));
91
92 }
93}
94
```

Joaquín

16 Jul 2019

```
1# Driver Code
2arr = [ 2, 3, 4, 10, 40 ]
3x = 10
4
5# Function call
6result = binarySearch(arr, 0, len(arr)-1, x)
7
8if result != -1:
9 print ("Element is present at index % d" % result)
10else:
11 print ("Element is not present in array")
```

Andreas

31 Jul 2017

```
1void BSNode::insert(std::string value) {
2
3 if (this->_data == value) {
4 _count++;
5 return;
6 }
7
8 if (this->_data > value) {
9 if (this->getLeft() == nullptr) {
10 this->_left = new BSNode(value);
11 }
12 this->getLeft()->insert(value);
13 return;
14 }
15
16 if (this->getRight() == nullptr) {
17 this->_right = new BSNode(value);
18 return;
19 }
20 this->getRight()->insert(value);
21}
```

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