Practice Prefix Codes - 21.4 | 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 a prefix code?

💡 Hint: Think about why we need clarity in decoding.

Question 2

Easy

Can you name one application of variable length encoding?

💡 Hint: Think about how data is compressed.

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 does Huffman coding optimize for?

  • Minimizing complexity
  • Minimizing average bit length
  • Maximizing data size

💡 Hint: Consider what it means to be 'efficient' in data encoding.

Question 2

True or False? Prefix codes allow for ambiguous decoding.

  • True
  • False

💡 Hint: Think about how unambiguous is related to prefixes.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the frequencies of letters A: 0.4, B: 0.3, C: 0.2, and D: 0.1, construct a Huffman tree and assign the codes.

💡 Hint: Combine the lowest frequencies first.

Question 2

Explain how you would adjust Huffman coding if working with a different language like French.

💡 Hint: Consider the significance of character distribution in different languages.

Challenge and get performance evaluation