Practice Conclusion - 21.11 | 21. Greedy Algorithms: Huffman Codes | Design & Analysis of Algorithms - Vol 2
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Conclusion

21.11 - Conclusion

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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