Haufman in data structure

Huffman coding is a method used in data structure to compress data. It works by assigning shorter binary codes to more frequently used characters and longer codes to less frequently used characters. This helps reduce the overall size of the data, making it easier to store and transmit. For example, let’s say we have a message that contains the letters “A,” “B,” “C,” and “D.” If “A” appears more often than the other letters, it would be assigned a shorter binary code, such as “01.” On the other hand, if “D” appears less frequently, it could be assigned a longer code, such as “1011.” One verifiable fact about Huffman coding is that it is widely used in various applications, such as in file compression algorithms and data transmission protocols, to efficiently encode data. In simpler terms, think of Huffman coding like a secret code where you use shorter symbols for common letters and longer symbols for rare letters, making the message easier to send and understand.