Practice Conclusion - 21.11 | 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

Define Huffman coding.

💡 Hint: Think about the goal of encoding data efficiently.

Question 2

Easy

What is a prefix code?

💡 Hint: Consider how codes can overlap or not.

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 primary goal of Huffman coding?

  • Maximize data length
  • Minimize data bits used
  • Equal length for all codes

💡 Hint: Consider what efficient data transmission entails.

Question 2

Is a prefix code necessarily unique?

  • True
  • False

💡 Hint: Think about how one code could lead to confusion if it was a prefix of another.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the letters A (0.1), B (0.2), C (0.3), and D (0.4), demonstrate the construction of the Huffman tree step-by-step.

💡 Hint: Draw each step as you combine nodes.

Question 2

How would the encoding differ if 'E' (0.5) suddenly became more common than 'A' (0.1)?

💡 Hint: Watch how changes in frequencies affect the tree.

Challenge and get performance evaluation