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3 cards from this section. Quick, good the night before a test.
What is Huffman coding?
Think about how it deals with letter frequencies.
Define a composite node in Huffman coding.
Focus on the merging process.
What is the basis of making local optimal choices in Huffman coding?
Consider the purpose of letter frequency in encoding.
Huffman coding is considered a greedy algorithm. True or False?
Think about how decisions are made with no going back.
Given the following frequencies: A: 0.3, B: 0.1, C: 0.2, D: 0.4, construct the Huffman tree and determine the corresponding binary codes.
Track merges carefully, assigning 0 and 1 to child nodes to create codes.
Explain the flaws of using a naive greedy algorithm in constructing a tree. Consider at least two alternative combinations and their outcomes.
Think about the implications of higher frequency letters during tree construction.
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