Practice Global Optimal Solution (22.5.2) - Introduction to Recursive Solutions and Huffman Coding

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6 sample questions

Question 1.
What does Huffman coding aim to achieve?
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Think about how we can save space in data storage.
Question 2.
Define a greedy algorithm.
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Consider choices that seem best at each moment.
3Question 3.
What is the primary purpose of Huffman coding?
- To encrypt data
- To compress data
- To store data efficiently
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Consider how bytes can be represented more efficiently.
4Question 4.
Is Huffman coding a greedy algorithm?
- True
- False
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Recall the characteristic of greedy algorithms.
Question 5.
You have characters A, B, C, D, E with frequencies 0.1, 0.3, 0.2, 0.4, and 0.5. Create the Huffman tree and explain each step.
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Focus on starting with the two smallest frequencies.
Question 6.
Discuss why Huffman coding might not work well with certain data patterns. Provide an example.
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Consider cases where frequencies don't vary greatly.

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