Practice Expected Length of the Encoding - 21.7 | 21. Greedy Algorithms: Huffman Codes | Design & Analysis of Algorithms - Vol 2
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Huffman coding?

💡 Hint: It involves using shorter codes for more frequent characters.

Question 2

Easy

What does a prefix code ensure?

💡 Hint: Think about how codes might overlap.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the purpose of Huffman coding?

  • To assign fixed-length codes to all characters
  • To encode letters based on their frequency for better efficiency
  • To create ambiguous codes for different letters

💡 Hint: Think about how efficiency can be enhanced using frequency.

Question 2

True or False: In a prefix code, one code can be a prefix of another.

  • True
  • False

💡 Hint: Consider what happens during decoding.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Assume we need to encode the letters 'A', 'B', 'C', 'D', 'E' with frequencies 0.4, 0.3, 0.2, 0.1. Create the Huffman tree, and derive the encoding for each character.

💡 Hint: Start by pairing the lowest frequencies and build upwards.

Question 2

What would happen if we allow one of the codes in a Huffman tree to be the prefix of another? Discuss the implications for encoding and decoding.

💡 Hint: Think about how this overlaps during the decoding process.

Challenge and get performance evaluation