Practice Huffman's Innovative Algorithm (22.6.2) - Introduction to Recursive Solutions and Huffman Coding

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6 sample questions

Question 1.
Define Huffman Coding.
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Think about how encoding can vary based on frequency.
Question 2.
What is a composite node?
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It’s what we create after combining the lowest frequencies.
3Question 3.
What does Huffman's algorithm minimize?
- Total Frequency
- Average Bits Per Letter
- Number of Letters
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Consider what is meant by efficient encoding.
4Question 4.
True or False: Huffman coding is a greedy algorithm.
- True
- False
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Recall the defining feature of greedy algorithms.
Question 5.
Given a set of letters: H, I, J, K with frequencies 0.12, 0.30, 0.18, 0.40 respectively, construct the Huffman tree and the corresponding codes.
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Follow the merging steps carefully.
Question 6.
Explain how changing the order of merging nodes can affect the final encoding in Huffman’s algorithm. Provide an example.
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Consider the implications on tree depth and node structure.

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