This assignment focuses on implementing Huffman coding algorithms in C. Students are tasked with developing solutions for both approximate and exact order-preserving Huffman coding, utilizing heaps and dynamic programming techniques. The input consists of frequency counts for symbols, and the program should output the bit code for each symbol and the weighted sum. The assignment emphasizes understanding data structures, algorithm design, and efficient coding practices to achieve the required time complexity. The solution involves merging subtrees, managing heaps, and ensuring order preservation, while also addressing the differences between approximate and exact approaches. Students are expected to demonstrate a strong understanding of data compression principles and their practical application.
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