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19.3.2. Greedy Approach Overview
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Mixed questions from across the chapter. Your answers get marked.
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2 cards from this lesson. Good the night before a test.
Try these first
- 1.
What is a greedy algorithm?
Hint
Think about how these choices lead to overall success.
- 2.
Give an example of a problem that can be solved using a greedy algorithm.
Hint
Consider scheduling classes or meetings.
- 3.
Which of the following algorithms is a greedy algorithm?
- Dijkstra's
- Bubble Sort
- Merge Sort
Hint
Think about the algorithm that deals with paths.
- 4.
True or False: A greedy algorithm always provides the optimal solution.
- True
- False
Hint
Consider the conditions necessary for a greedy algorithm to succeed.
- 5.
You have four meetings that each have start and end times: (1, 10), (2, 3), (4, 5), (6, 7). Which meetings should you choose to maximize attendance?
Hint
Look for short meetings that finish early!
- 6.
If a greedy strategy always selects the shortest interval first, present a scenario where this leads to fewer total selections than another strategy.
Hint
Consider overlap and availability.
Exercises
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
4 more questions available
Enrol freeQuiz
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
1 more question available
Enrol freeChallenge Problems
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting