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@harish-r
Last active January 7, 2024 16:30
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Binary Search Tree Implementation in C++
/*
** Binary Search Tree implementation in C++
** Harish R
*/
#include<iostream>
using namespace std;
class BST {
struct node {
int data;
node* left;
node* right;
};
node* root;
node* makeEmpty(node* t) {
if(t == NULL)
return NULL;
{
makeEmpty(t->left);
makeEmpty(t->right);
delete t;
}
return NULL;
}
node* insert(int x, node* t)
{
if(t == NULL)
{
t = new node;
t->data = x;
t->left = t->right = NULL;
}
else if(x < t->data)
t->left = insert(x, t->left);
else if(x > t->data)
t->right = insert(x, t->right);
return t;
}
node* findMin(node* t)
{
if(t == NULL)
return NULL;
else if(t->left == NULL)
return t;
else
return findMin(t->left);
}
node* findMax(node* t) {
if(t == NULL)
return NULL;
else if(t->right == NULL)
return t;
else
return findMax(t->right);
}
node* remove(int x, node* t) {
node* temp;
if(t == NULL)
return NULL;
else if(x < t->data)
t->left = remove(x, t->left);
else if(x > t->data)
t->right = remove(x, t->right);
else if(t->left && t->right)
{
temp = findMin(t->right);
t->data = temp->data;
t->right = remove(t->data, t->right);
}
else
{
temp = t;
if(t->left == NULL)
t = t->right;
else if(t->right == NULL)
t = t->left;
delete temp;
}
return t;
}
void inorder(node* t) {
if(t == NULL)
return;
inorder(t->left);
cout << t->data << " ";
inorder(t->right);
}
node* find(node* t, int x) {
if(t == NULL)
return NULL;
else if(x < t->data)
return find(t->left, x);
else if(x > t->data)
return find(t->right, x);
else
return t;
}
public:
BST() {
root = NULL;
}
~BST() {
root = makeEmpty(root);
}
void insert(int x) {
root = insert(x, root);
}
void remove(int x) {
root = remove(x, root);
}
void display() {
inorder(root);
cout << endl;
}
void search(int x) {
root = find(root, x);
}
};
int main() {
BST t;
t.insert(20);
t.insert(25);
t.insert(15);
t.insert(10);
t.insert(30);
t.display();
t.remove(20);
t.display();
t.remove(25);
t.display();
t.remove(30);
t.display();
return 0;
}
@rawstar134
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Hi,
I am a student at DAIICT, India. Studying ICT with machine learning specialization. This is an article, I have written while practicing the algorithms. I gathers a lot of information and wrote this articles of a binary tree in java: this is the link-> Click here

@rayyang29
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Hello @harish-r! In your implementation of BST search, you are changing the root of the tree every time you search. This is undesired behavior in a BST.

@yuxuan-z19
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yuxuan-z19 commented Nov 22, 2022

Perhaps there's a mistake in search() since it's just a public interface "returning" what find() returns. Thus root MUST NOT BE MODIFIED
Once it's fixed, everything is good.

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