Practice Greedy Algorithms (13.3.3) - Implementation of Algorithms to Solve Problems

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6 sample questions

Question 1.
What is a greedy algorithm?
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Think about immediate benefits in decision making.
Question 2.
Give an example where greedy algorithms might work.
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Consider a situation with limits and rewards.
3Question 3.
What defines a greedy algorithm?
- It revisits previous choices.
- It makes the best immediate choice without considering future consequences.
- It checks all possible solutions.
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Think about how decisions are made in real time.
4Question 4.
True or False: Greedy algorithms always guarantee an optimal solution.
- True
- False
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Recall examples where greedy did not work.
Question 5.
Explain how you would approach the Knapsack Problem using a greedy algorithm, including a specific example with weights and values.
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Calculate ratios and sort accordingly to maximize value.
Question 6.
Given coins of denominations 1, 3, and 4, and needing to make 6, what does a greedy approach suggest and why would it fail?
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Consider how the choices are made and the values involved.

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