Practice Transforming Schedule (20.7) - Greedy Algorithms: Minimizing Lateness

Practice: Transforming Schedule

Lesson 20.7Greedy Algorithms: Minimizing Lateness

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8 questions

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

Question 1.
Define lateness in the context of scheduling jobs.
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Think about the relationship between finishing a job and the deadline.
Question 2.
What is a greedy algorithm?
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Focus on how decisions are made in stages.
3Question 3.
What is the goal of the Minimizing Lateness problem?
- To minimize the total time taken by all jobs.
- To minimize the maximum lateness of jobs.
- To ensure all jobs are finished by their deadlines.
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Think about what we are trying to achieve with the schedule.
4Question 4.
True or False: The greedy strategy that sorts jobs by their shortest time to completion will always yield the best solution for minimizing lateness.
- True
- False
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Review the counterexamples discussed.
Question 5.
You have five jobs with the following lengths and deadlines: { (1, 2), (2, 4), (3, 6), (1, 3), (4, 8) }. Which order minimizes maximum lateness?
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Prioritize jobs based on deadlines.
Question 6.
If a job takes 5 units of time and has a deadline of 10, but another job takes 1 unit of time with a deadline of 5, analyze the best scheduling approach.
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Think about the implications of finishing one before the other.

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