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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is variable length encoding?
💡 Hint: Think about how letters can be represented in a more efficient way.
Question 2
Easy
Define Huffman Codes.
💡 Hint: It’s a solution to reduce the size of encoded messages.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does Huffman Coding optimize?
💡 Hint: Think about the primary purpose of using Huffman Coding.
Question 2
True or False: In a prefix code, one code can be a prefix of another code.
💡 Hint: Remember how ambiguity can arise without this property.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Construct a Huffman Tree using the letters A (0.4), B (0.3), C (0.2), D (0.1). Then derive the corresponding binary codes.
💡 Hint: Start by identifying the two letters with the lowest frequencies.
Question 2
Given the probabilities of letters A (0.25), B (0.25), C (0.25), and D (0.25), provide an explanation of how you would use Huffman coding to minimize the length of the encoded message.
💡 Hint: Think about how you would choose to combine nodes when frequencies are equal.
Challenge and get performance evaluation