Practice Conclusion Of Optimality (19.5.2) - Greedy algorithms: Interval scheduling

Practice: Conclusion of Optimality

Lesson 19.5.2Greedy algorithms: Interval scheduling

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6 sample questions

Question 1.
What is a greedy algorithm?
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Think about how it approaches decision making.
Question 2.
Name one algorithm that follows a greedy approach.
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Consider what you learned about minimum spanning trees.
3Question 3.
What is one key characteristic of greedy algorithms?
- They always guarantee the best solution.
- They make local decisions.
- They require global knowledge.
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Consider how they operate step-by-step.
4Question 4.
True or False: Prim’s algorithm is used to find the shortest path in graphs.
- True
- False
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Remember the distinction between paths and trees.
Question 5.
Design an example where the use of a greedy algorithm fails to yield the optimal solution. Describe the algorithm and the scenario.
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Think about job selection in terms of maximizing rewards versus minimizing time.
Question 6.
Using the interval scheduling algorithm, outline the procedure step-by-step for a given set of time intervals. Explain the outcome.
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Keep track of finish times at each stage.

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