Practice Exchange Argument - 20.6 | 20. Greedy Algorithms: Minimizing Lateness | Design & Analysis of Algorithms - Vol 2
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Exchange Argument

20.6 - Exchange Argument

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define lateness in terms of job scheduling.

💡 Hint: Think about how we measure if a job is late.

Question 2 Easy

What is a greedy algorithm?

💡 Hint: Consider how you would decide what to schedule first.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What term describes the difference between finish time and deadline?

Lateness
Idle Time
Completion Time

💡 Hint: Focus on what it means for a job to be completed late.

Question 2

True or False: A job can be done late but still be optimal.

True
False

💡 Hint: Consider the definition of optimal in relation to deadlines.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider a scenario with jobs that all have the same processing time but different deadlines. How would you schedule them, and why?

💡 Hint: Think about what happens if they don't follow the deadlines.

Challenge 2 Hard

If you have multiple jobs that can be completed in parallel with a single resource, how would minimal lateness change?

💡 Hint: Consider how job dependencies affect order.

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