Practice Introduction - 20.1 | 20. Greedy Algorithms: Minimizing Lateness | Design & Analysis of Algorithms - Vol 2
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Introduction

20.1 - Introduction

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define lateness in the context of scheduling.

💡 Hint: Think about the relationship between job finish times and deadlines.

Question 2 Easy

What is a Greedy Algorithm?

💡 Hint: Focus on how choices are made one at a time.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the schedule aim to minimize?

Makespan
Lateness
Idle Time

💡 Hint: Focus on the primary goal of the scheduling process.

Question 2

True or False: Greedy algorithms guarantee the best solution for all optimization problems.

True
False

💡 Hint: Think about the limitations of greedy strategies.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a list of jobs with their respective processing times and deadlines, construct a schedule and calculate the maximum lateness. Explain each choice in your schedule.

💡 Hint: Focus on how each job's timing aligns with deadlines.

Challenge 2 Hard

Create a situation with three jobs that can be optimized by removing inversions in the order of scheduling. Show the initial and adjusted schedules.

💡 Hint: Reflect on what an inversion looks like in your job order.

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Reference links

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