Practice Greedy Approach Overview (19.3.2) - Greedy algorithms: Interval scheduling

Practice: Greedy Approach Overview

Lesson 19.3.2Greedy algorithms: Interval scheduling

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9 questions

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6 sample questions

Question 1.
What is a greedy algorithm?
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Think about how these choices lead to overall success.
Question 2.
Give an example of a problem that can be solved using a greedy algorithm.
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Consider scheduling classes or meetings.
3Question 3.
Which of the following algorithms is a greedy algorithm?
- Dijkstra's
- Bubble Sort
- Merge Sort
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Think about the algorithm that deals with paths.
4Question 4.
True or False: A greedy algorithm always provides the optimal solution.
- True
- False
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Consider the conditions necessary for a greedy algorithm to succeed.
Question 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?
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Look for short meetings that finish early!
Question 6.
If a greedy strategy always selects the shortest interval first, present a scenario where this leads to fewer total selections than another strategy.
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Consider overlap and availability.

5 more questions in this section. Enroll free to practise them all.