DSA SERIES CHAPTER 17 :
CREATION OF BINARY TREE (C VERSION)
Objective :
This explains how a Binary Tree is created in C using dynamic memory allocation. It establishes the foundation for all subsequent binary tree operations in Phase 4.
Focus is on:
Node structure
Memory allocation
Manual linking of nodes
Understanding tree shape through pointers
1. What Does “Creating a Binary Tree” Mean?
Exam‑ready definition:
Creating a binary tree means allocating memory for nodes dynamically and linking each node to at most two children (left and right) using pointers.
Important clarification:
This is not insertion logic
This is explicit construction of a known tree structure
2. Binary Tree Diagram Used
We will construct the following tree:
1
/ \
2 3
/ \
4 5
This exact diagram will be reflected in the C program.
3. Node Structure in C
struct Node {
int data;
struct Node *left;
struct Node *right;
};
Explanation
data→ stores node valueleft→ pointer to left childright→ pointer to right child
4. Creating a New Node (Dynamic Allocation)
struct Node* createNode(int data)
{
struct Node* newNode = (struct Node*)malloc(sizeof(struct Node));
newNode->data = data;
newNode->left = NULL;
newNode->right = NULL;
return newNode;
}
Why Dynamic Memory?
Tree size is not fixed
Nodes are created at runtime
5. Full C Program – Binary Tree Creation
#include <stdio.h>
#include <stdlib.h>
struct Node {
int data;
struct Node *left;
struct Node *right;
};
struct Node* createNode(int data)
{
struct Node* newNode = (struct Node*)malloc(sizeof(struct Node));
newNode->data = data;
newNode->left = NULL;
newNode->right = NULL;
return newNode;
}
int main()
{
// Step 1: Create root node
struct Node* root = createNode(1);
// Step 2: Create left and right children of root
root->left = createNode(2);
root->right = createNode(3);
// Step 3: Create children of node 2
root->left->left = createNode(4);
root->left->right = createNode(5);
printf("Binary Tree created successfully.\n");
return 0;
}
6. Step‑by‑Step Creation Explanation
Memory allocated for node
1→ becomes rootNode
2linked as left child of rootNode
3linked as right child of rootNode
4linked as left child of node2Node
5linked as right child of node2
Tree structure now matches the diagram exactly.
7. Memory Representation (Conceptual)
root
|
[1]
/ \
[2] [3]
/ \
[4] [5]
Each node occupies separate memory blocks, connected via pointers.
8. Time and Space Complexity
Time Complexity
O(n) → number of nodes created
Space Complexity
O(n) → memory allocated for n nodes
9. Common Student Mistakes
Forgetting to initialize left/right pointers to NULL
Using local variables instead of dynamic allocation
Confusing tree creation with insertion logic
10. Practice Questions
Modify the program to create a right‑skewed binary tree.
Create a binary tree with only one child per node.
Draw memory diagram for a 3‑node tree.
What happens if
malloc()fails?
11. Learning Outcome (Post 4.1)
After this post, a student can:
Define a binary tree node in C
Dynamically allocate tree nodes
Manually construct any binary tree structure
Understand pointer‑based tree representation ALSO CHECK
DS(Data Structure) Python&C Edition
DSA Series Chapter 1 Time & Space Complexity ( C Edition)
DSA Series Chapter 2 Arrays (C Version)
DSA Series Chapter 2 Arrays (Python Version)
DSA Series Chapter 3 Strings (C Version)
DSA Series Chapter 3 Strings (Python Version)
DSA Series Chapter 4 Linked Lists (Python Version)
DSA Series Chapter 4 Linked Lists (C Version)
DSA Series Chapter 5 Stacks (Python Version)
DSA Series Chapter 5 Stacks (C Version)
DSA Series Chapter 13 - Binary Tree traversal, BFS, DFT/DFS, Preorder Traversal In Binary Tree
DSA Series Chapter 14 - InOrder Traversal (Binary Tree C Version)
DSA Series Chapter 14 - InOrder Traversal (Binary Tree Python Version)
DSA Series Chapter 15 – POSTORDER TRAVERSAL (BINARY TREE)(Python Version)
DSA Series Chapter 15 – POSTORDER TRAVERSAL (BINARY TREE)(C Version)
DSA Series Chapter 16 – LEVEL ORDER TRAVERSAL(BINARY TREE BFS)(C Version)
DSA Series Chapter 16 – LEVEL ORDER TRAVERSAL(BINARY TREE BFS)(Python Version)
DSA Series Chapter 17 : CREATION OF BINARY TREE (C Version)DSA Series Chapter 17 : CREATION OF BINARY TREE (Python Version)Tail Recursion Optimization: How Compilers Convert Recursion Into Iteration
Advanced Recursion: Memoization vs. Tabulation — The Deep Optimization Blueprint for Professionals
Advanced Sorting Algorithms: Merge Sort Internals — Merge Tree, Cache Behavior & Real Cost Analysis
Enjoyed this post? [Follow here] for daily coding insights.
.png)
Comments
Post a Comment