Practice Prefix Codes - 21.4 | 21. Greedy Algorithms: Huffman Codes | Design & Analysis of Algorithms - Vol 2
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Prefix Codes

21.4 - Prefix Codes

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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