Practice Optimal Strategy And Algorithm (19.3.5) - Greedy algorithms: Interval scheduling

Practice: Optimal Strategy and Algorithm

Lesson 19.3.5Greedy algorithms: Interval scheduling

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9 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a greedy algorithm?
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Think about making immediate ‘best’ picks.
Question 2.
What does interval scheduling involve?
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Consider how events can be scheduled in a limited timeframe.
3Question 3.
What is the main goal of the greedy algorithm in interval scheduling?
- Maximize classroom size
- Maximize the number of non-overlapping intervals
- Minimize instructor time
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Focus on what we’re trying to achieve with scheduling.
4Question 4.
True or False: A greedy strategy can be proven optimal.
- True
- False
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Recall how we discussed proof techniques.
Question 5.
Critically analyze a recently developed scheduling algorithm and compare it against the greedy approach discussed here.
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Look for differing outcomes when applying various strategies.
Question 6.
Design a small Python program that demonstrates the greedy algorithm for interval scheduling, including error handling for overlapping time slots.
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Use collections to handle setting and managing booked time intervals effectively.

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