Why it is preferred to use heap instead of sorting methods like quick sort in Huffman algorithm?
Throughout this section we will assume that the number of characters is C. We maintain a forest of trees. The weight of a tree is equal to the sum of the frequencies of its leaves. C-1 times, select the two trees, T1 and T2, of smallest weight, breaking ties arbitrarily, and form a new tree with subtrees T1 amd T2. At the beginning of the algorithm, there are C single-node trees, one for each character. At the end of the algorithm there is one tree, and this is the optimal Huffman coding tree… I attached the worked example with this