Practice Conclusion of Optimality - 19.5.2 | 19. Greedy algorithms: Interval scheduling | Design & Analysis of Algorithms - Vol 2
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Conclusion of Optimality

19.5.2 - Conclusion of Optimality

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a greedy algorithm?

💡 Hint: Think about how it approaches decision making.

Question 2 Easy

Name one algorithm that follows a greedy approach.

💡 Hint: Consider what you learned about minimum spanning trees.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is one key characteristic of greedy algorithms?

They always guarantee the best solution.
They make local decisions.
They require global knowledge.

💡 Hint: Consider how they operate step-by-step.

Question 2

True or False: Prim’s algorithm is used to find the shortest path in graphs.

True
False

💡 Hint: Remember the distinction between paths and trees.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design an example where the use of a greedy algorithm fails to yield the optimal solution. Describe the algorithm and the scenario.

💡 Hint: Think about job selection in terms of maximizing rewards versus minimizing time.

Challenge 2 Hard

Using the interval scheduling algorithm, outline the procedure step-by-step for a given set of time intervals. Explain the outcome.

💡 Hint: Keep track of finish times at each stage.

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