Practice Greedy Strategies (19.3.3) - Greedy algorithms: Interval scheduling

Practice: Greedy Strategies

Lesson 19.3.3Greedy 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 it approaches optimization.
Question 2.
Give an example of a greedy algorithm.
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Consider algorithms used for pathfinding or tree construction.
3Question 3.
What does a greedy algorithm prioritize?
- Maximizing overall results
- Minimizing local choices
- Making locally optimal decisions
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Recall the definition of greedy in algorithms.
4Question 4.
True or False: Prim's algorithm is used for finding the shortest path between two vertices.
- True
- False
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Think about the specific problem each algorithm solves.
Question 5.
Given a list of intervals, develop a greedy algorithm to determine the maximum number of non-overlapping intervals and illustrate with an example.
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Think about how sorting creates clear choices.
Question 6.
Prove that the greedy strategy of choosing intervals by earliest finish time always produces the maximum number of non-overlapping intervals. Use an example to illustrate your proof.
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Visual representations can help articulate the induction process.

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