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22.6.2. Huffman's Innovative Algorithm

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  1. 1.

    Define Huffman Coding.

    Hint

    Think about how encoding can vary based on frequency.

  2. 2.

    What is a composite node?

    Hint

    It’s what we create after combining the lowest frequencies.

  3. 3.

    What does Huffman's algorithm minimize?

    • Total Frequency
    • Average Bits Per Letter
    • Number of Letters
    Hint

    Consider what is meant by efficient encoding.

  4. 4.

    True or False: Huffman coding is a greedy algorithm.

    • True
    • False
    Hint

    Recall the defining feature of greedy algorithms.

  5. 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.

    Hint

    Follow the merging steps carefully.

  6. 6.

    Explain how changing the order of merging nodes can affect the final encoding in Huffman’s algorithm. Provide an example.

    Hint

    Consider the implications on tree depth and node structure.

Exercises

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting

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Quiz

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting

1 more question available

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Challenge Problems

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting