Understanding Huffman Coding in C

Introduction:

• Briefly explain Huffman coding and its importance in data compression.

Code Overview:

• Define structures for nodes and the min heap.

• Implement functions for creating nodes, min heap operations, and building the Huffman tree.

Functions:

• Create Node

  • Creates a new node with specified data and frequency.

struct Node* createNode(char data, int frequency) {
    // Code for createNode function
}

Min Heap Operations

Explain// Functions for min heap operations
void swapNode(struct Node** a, struct Node** b);
void minHeapify(struct MinHeap* minHeap, int idx);
int isSizeOne(struct MinHeap* minHeap);
struct Node* extractMin(struct MinHeap* minHeap);
void insertMinHeap(struct MinHeap* minHeap, struct Node* node);
void buildMinHeap(struct MinHeap* minHeap);

Build Huffman Tree

struct Node* buildHuffmanTree(char data[], int frequency[], int size) {
    // Code for buildHuffmanTree function
}

Print Huffman Codes

void printCodes(struct Node* root, int arr[], int top) {
    // Code for printCodes function
}

Main Function:

• Initializes data and frequency arrays.

• Calls the Huffman coding function and prints the codes.

In Short:

• Demonstrates Huffman coding in C for data compression.

• Utilizes a min heap to build the Huffman tree efficiently.

• Prints the Huffman codes for characters based on their frequencies.

Conclusion

• Summarizes the code's purpose in generating Huffman codes.

• Discusses the role of Huffman coding in efficient data representation.

Final Thoughts

• Encourages further exploration of data compression techniques and algorithms.

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