Practice Time Complexity Conclusion (19.6.2) - Greedy algorithms: Interval scheduling

Practice: Time Complexity Conclusion

Lesson 19.6.2Greedy algorithms: Interval scheduling

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6 sample questions

Question 1.
What is a greedy algorithm?
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Think about how you make decisions under constraints.
Question 2.
Can you provide an example of a problem where a greedy algorithm works?
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Consider problems involving weight optimization.
3Question 3.
What is the main goal of greedy algorithms?
- To achieve a global optimum
- To maximize local benefits
- To minimize complexity
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Consider the purpose of optimization.
4Question 4.
True or False: Greedy algorithms always work for every optimization problem.
- True
- False
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Reflect on examples where greedy methods fail.
Question 5.
Given a set of intervals, write the algorithm in pseudocode to solve the scheduling problem using the greedy approach.
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Consider which intervals to filter out at each step.
Question 6.
If there are n intervals, analyze the steps your algorithm takes through a worst-case scenario. What is the implication of this for its complexity?
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Think about how many times you’d check for overlaps in strict conflict scenarios.

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