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