Practice Fixed Length Codes - 21.8 | 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 used for?

💡 Hint: Think about ways data can be represented more efficiently.

Question 2

Easy

Define a prefix code.

💡 Hint: This helps ensure no confusion in decoding.

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 main goal of Huffman coding?

  • To send data lossily
  • To minimize data transmission size
  • To convert data to hexadecimal

💡 Hint: Consider the meaning of compression.

Question 2

True or False: In Huffman coding, each letter must be represented by the same length of bits.

  • True
  • False

💡 Hint: Think about what differentiates Huffman coding from fixed-length codes.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a set of letters: P(0.3), Q(0.25), R(0.2), S(0.15), T(0.1), design an optimal Huffman tree and derive the encoding for each letter.

💡 Hint: Always combine the two letters with the lowest frequencies first.

Question 2

Imagine you're designing a new communication protocol using Huffman coding. List potential challenges you might face in implementation.

💡 Hint: Consider the operational aspects of encoding and decoding.

Challenge and get performance evaluation