Huffman Trees

Huffman Trees are data structures used to efficiently encode information based on how often each piece appears. They work by assigning shorter codes to more common items and longer codes to less frequent ones, reducing overall data size. The tree is built by grouping the least frequent elements together, creating a hierarchy that reflects their frequencies. This method ensures that common pieces need fewer bits to represent, which makes data compression more effective. Huffman Trees are widely used in file compression formats like ZIP and JPEG to optimize storage and transmission efficiency.