Practice Optimum Schedule Properties - 20.5 | 20. Greedy Algorithms: Minimizing Lateness | Design & Analysis of Algorithms - Vol 2
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Optimum Schedule Properties

20.5 - Optimum Schedule Properties

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the maximum lateness?

💡 Hint: Consider what happens if a job finishes after its deadline.

Question 2 Easy

Define a greedy algorithm.

💡 Hint: What do these choices depend on?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main goal of the Minimize Lateness problem?

Minimize total processing time
Minimize maximum lateness
Schedule as many jobs as possible

💡 Hint: Consider the outcomes if jobs are late.

Question 2

True or False: A greedy strategy may not always yield optimal solutions.

True
False

💡 Hint: Reflect on the 'shortest job first' example.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider a set of jobs with deadlines of 2, 3, and 5 and processing times of 1, 3, and 2 each respectively. Propose a schedule that minimizes maximum lateness and show your calculations.

💡 Hint: Think about delaying longer jobs for later where possible.

Challenge 2 Hard

Given a scenario where certain jobs can preempt others, how would this change your scheduling approach? Discuss the implications.

💡 Hint: Consider how preemption could reduce lateness across overlapping deadlines.

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