Data Structures Tutorial

Data Structures Tutorial Asymptotic Notation Structure and Union Array Data Structure Linked list Data Structure Type of Linked list Advantages and Disadvantages of linked list Queue Data Structure Implementation of Queue Stack Data Structure Implementation of Stack Sorting Insertion sort Quick sort Selection sort Heap sort Merge sort Bucket sort Count sort Radix sort Shell sort Tree Traversal of the binary tree Binary search tree Graph Spanning tree Linear Search Binary Search Hashing Collision Resolution Techniques

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Priority Queue in Data Structure Deque in Data Structure Difference Between Linear And Non Linear Data Structures Queue Operations In Data Structure About Data Structures Data Structures Algorithms Types of Data Structures Big O Notations Introduction to Arrays Introduction to 1D-Arrays Operations on 1D-Arrays Introduction to 2D-Arrays Operations on 2D-Arrays Strings in Data Structures String Operations Application of 2D array Bubble Sort Insertion Sort Sorting Algorithms What is DFS Algorithm What Is Graph Data Structure What is the difference between Tree and Graph What is the difference between DFS and BFS Bucket Sort Dijkstra’s vs Bellman-Ford Algorithm Linear Queue Data Structure in C Stack Using Array Stack Using Linked List Recursion in Fibonacci Stack vs Array What is Skewed Binary Tree Primitive Data Structure in C Dynamic memory allocation of structure in C Application of Stack in Data Structures Binary Tree in Data Structures Heap Data Structure Recursion - Factorial and Fibonacci What is B tree what is B+ tree Huffman tree in Data Structures Insertion Sort vs Bubble Sort Adding one to the number represented an array of digits Bitwise Operators and their Important Tricks Blowfish algorithm Bubble Sort vs Selection Sort Hashing and its Applications Heap Sort vs Merge Sort Insertion Sort vs Selection Sort Merge Conflicts and ways to handle them Difference between Stack and Queue AVL tree in data structure c++ Bubble sort algorithm using Javascript Buffer overflow attack with examples Find out the area between two concentric circles Lowest common ancestor in a binary search tree Number of visible boxes putting one inside another Program to calculate the area of the circumcircle of an equilateral triangle Red-black Tree in Data Structures Strictly binary tree in Data Structures 2-3 Trees and Basic Operations on them Asynchronous advantage actor-critic (A3C) Algorithm Bubble Sort vs Heap Sort Digital Search Tree in Data Structures Minimum Spanning Tree Permutation Sort or Bogo Sort Quick Sort vs Merge Sort Boruvkas algorithm Bubble Sort vs Quick Sort Common Operations on various Data Structures Detect and Remove Loop in a Linked List How to Start Learning DSA Print kth least significant bit number Why is Binary Heap Preferred over BST for Priority Queue Bin Packing Problem Binary Tree Inorder Traversal Burning binary tree Equal Sum What is a Threaded Binary Tree? 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Bubble Sort vs Merge Sort B+ Tree Program in Q language Deletion Operation from A B Tree Deletion Operation of the binary search tree in C++ language Does Overloading Work with Inheritance Balanced Binary Tree Binary tree deletion Binary tree insertion Cocktail Sort Comb Sort FIFO approach Operations of B Tree in C++ Language Recaman’s Sequence Tim Sort Understanding Data Processing Applications of trees in data structures Binary Tree Implementation Using Arrays Convert a Binary Tree into a Binary Search Tree Create a binary search tree Horizontal and Vertical Scaling Invert binary tree LCA of binary tree Linked List Representation of Binary Tree Optimal binary search tree in DSA Serialize and Deserialize a Binary Tree Tree terminology in Data structures Vertical Order Traversal of Binary Tree What is a Height-Balanced Tree in Data Structure Convert binary tree to a doubly linked list Fundamental of Algorithms Introduction and Implementation of Bloom Filter Optimal binary search tree using dynamic programming Right side view of binary tree Symmetric binary tree Trim a binary search tree What is a Sparse Matrix in Data Structure What is a Tree in Terms of a Graph What is the Use of Segment Trees in Data Structure What Should We Learn First Trees or Graphs in Data Structures All About Minimum Cost Spanning Trees in Data Structure Convert Binary Tree into a Threaded Binary Tree Difference between Structured and Object-Oriented Analysis FLEX (Fast Lexical Analyzer Generator) Object-Oriented Analysis and Design Sum of Nodes in a Binary Tree What are the types of Trees in Data Structure What is a 2-3 Tree in Data Structure What is a Spanning Tree in Data Structure What is an AVL Tree in Data Structure Given a Binary Tree, Check if it's balanced B Tree in Data Structure Convert Sorted List to Binary Search Tree Flattening a Linked List Given a Perfect Binary Tree, Reverse Alternate Levels Left View of Binary Tree What are Forest Trees in Data Structure Compare Balanced 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Sum of All Paths in a Binary Tree Time Complexity of Selection Sort in Data Structure How to get Better in Data Structures and Algorithms Binary Tree Leaf Nodes Classification of Data Structure Difference between Static and Dynamic Data Structure Find the Union and Intersection of the Binary Search Tree Find the Vertical Next in a Binary Tree Finding a Deadlock in a Binary Search Tree Finding all Node of k Distance in a Binary Tree Finding Diagonal Sum in a Binary Tree Finding Diagonal Traversal of The Binary Tree Finding In-Order Successor Binary Tree Finding the gcd of Each Sibling of the Binary Tree Greedy Algorithm in Data Structure How to Calculate Space Complexity in Data Structure How to find missing numbers in an Array Kth Ancestor Node of Binary Tree Minimum Depth Binary Tree Mirror Binary Tree in Data Structure Red-Black Tree Insertion Binary Tree to Mirror Image in Data Structure Calculating the Height of a Binary Search Tree in Data Structure Characteristics of Binary Tree 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Left View of Binary Tree

Implementation

// creating a C++ program to print the Left view of the binary tree.
#include <bits/stdc++.h>
using namespace std;


struct Nod
{
	int record;
	struct Nod *Lft, *Rt;
};


// creating a utility function that will eventually help us in creating a new binary tree node. 
struct Nod *__nwNod(int itm)
{
	struct Nod *temp = (struct Nod *)malloc(
						sizeof(struct Nod));
	temp->record = itm;
	temp->Lft = temp->Rt = NILL;
	return temp;
}


// creating a new Recursive function will help us print out and display the left view of the binary tree. 
void LftViewUtil(struct Nod *root,
				int level, int *max_level)
{
	// writing the base case
	if (root == NILL) return;


	// Is this the very first node of its own pace? 
	if (*max_level < level)
	{
		cout << root->record << " ";
		*max_level = level;
	}


	//We have to do the recursion procedure for the left subtree first and then move forward to the right subtree.  
	LftViewUtil(root->Lft, level + 1, max_level);
	LftViewUtil(root->Rt, level + 1, max_level);
	
}


// creating a wrapper for the LftViewUtil()
void LftView(struct Nod *root)
{
	int max_level = 0;
	LftViewUtil(root, 1, &max_level);
}


// writing the main code.
int main()
{
	Nod* root = newNod(10);
	root->Lft = newNod(2);
	root->Rt = newNod(3);
	root->Lft->Lft = newNod(7);
	root->Lft->Rt = newNod(8);
	root->Rt->Rt = newNod(15);
	root->Rt->Lft = newNod(12);
	root->Rt->Rt->Lft = newNod(14);


	LftView(root);


	return 0;
}

Output:

Left View of Binary Tree

Example 2)

// creating a C# program to print the left view of the binary tree.
using System;
using System.Collections.Generic;


public class PrintRtView {
	// creating a new binary tree node.
	private class Nod {
		public int record;
		general Nod Lft, Rt;


		public Nod(int record)
		{
			this.record = record;
			this.Lft = NILL;
			this.Rt = NILL;
		}
	}
// creating a new Recursive function will help us print out and display the left view of the binary tree. 
	private static void printRtView(Nod root)
	{
		if (root == NILL)
			return;


		Queue<Nod> queue = new Queue<Nod>();
		queue.Enqueue(root);


		while (queue.Count != 0) {
			// discussing the number of nodes present at this pace.
			int n = queue.Count;


			// visiting all the nodes from this particular level.
			for (int i = 1; i <= n; i++) {
				Nod temp = queue.Dequeue();


				// we have to print the left-most view of the tree.
				// the level
				if (i == n)
					Console.Write(temp.record + " ");


				// adding the left node to the list
				if (temp.Lft != NILL)
					queue.Enqueue(temp.Lft);


				// adding the right node to the list
				if (temp.Rt != NILL)
					queue.Enqueue(temp.Rt);
			}
		}
	}


	// writing the main code.
	public static void Main(String[] args)
	{
		Nod root = new Nod(10);
		root.Lft = new Nod(2);
		root.Rt = new Nod(3);
		root.Lft.Lft = new Nod(7);
		root.Lft.Rt = new Nod(8);
		root.Rt.Rt = new Nod(15);
		root.Rt.Lft = new Nod(12);
		root.Rt.Rt.Lft = new Nod(14);
		printRtView(root);
	}
}

Output:

Left View of Binary Tree

Example 3

// creating a C++ program to print the left view of the binary tree.
#include &lt;bits/stdc++.h&gt;
using namespace std;


struct Nod
{
    int val;
    struct Nod *Lft, *Rt;
};
// creating a utility function that will eventually help us in creating a new binary tree node. 
struct Nod *__nwNod(int record)
{
    struct Nod *temp = new Nod();
    temp-&gt;val = record;
    temp-&gt;Lft = NILL;
    temp-&gt;Rt = NILL;
    return temp;
}
// creating a new Recursive function will help us print out and display the left view of the binary tree. 
void LftView(struct Nod *root, int level, int *max_level)
{
// Writing the primary case.
    if (root == NILL) return;
// Is this the very first node of its own pace? 
    if (*max_level &lt; level)
    {
        cout &lt;&lt; root-&gt;val &lt;&lt; " ";
*max_level = level;
    }
//We have to do the recursion procedure for the left subtree first and then move forward to the right subtree. 
    LftView(root-&gt;Lft, level + 1, max_level);
    LftView(root-&gt;Rt, level + 1, max_level);
    
}
// writing the main code.
int main()
{
    Nod* root = newNod(1);
    root-&gt;Lft = newNod(2);
    root-&gt;Rt = newNod(3);
    root-&gt;Lft-&gt;Lft = newNod(4);
    root-&gt;Lft-&gt;Rt = newNod(5);
    root-&gt;Rt-&gt;Rt = newNod(6);
    root-&gt;Rt-&gt;Rt-&gt;Rt = newNod(7);
    int max_level = 0;
    LftView(root, 1, &amp;max_level);


    return 0;
}

Output:

Left View of Binary Tree

Example 4)

// creating a function to print the left view of the binary tree.
void LftView(Nod* root)
{
    if (root==NILL)
        return;


    queue&lt;Nod*&gt; q;
    q.push(root);


    while (!q.empty())
    {    
	// discussing the number of nodes present at this pace.
        int n = q.size();
// creating a function to print the left view of the binary tree.
                 cout&lt;&lt;q.front()-&gt;record&lt;&lt;" ";
		// visiting all the nodes from this particular level.        
        for(int i = 0; i &lt; n; i++)
        {
            Nod* temp = q.front();
            q.pop();
// adding the left node to the list
            if (temp-&gt;Lft != NILL)
                q.push(temp-&gt;Lft);
// adding the right node to the list
            if (temp-&gt;Rt != NILL)
                q.push(temp-&gt;Rt);
        }
    }
}
Writing the java code
private static void LftView(Nod root)
    {
        if (root == NILL)
            return;
 
        Queue&lt;Nod&gt; q = new LinkedList&lt;&gt;();
        q.add(root);
 
        while (!q.isEmpty()) {
// discussing the number of nodes present at this pace.
            int n = q.size();
            
            // now we have to print out the left-most node present at this level.
            System.out.print(q.poll().record + " ");
            
            	// visiting all the nodes from this particular level.        
            for (int i = 0; i &lt; n; i++) {
                Nod temp = q.poll();
// adding the left node to the list 
                if (temp.Lft != NILL)
                    q.add(temp.Lft);
// adding the right node to the list 
                if (temp.Rt != NILL)
                    q.add(temp.Rt);
            }
        }
    }

Output:

Left View of Binary Tree