Practice Greedy Strategy in Interval Scheduling - 23.5 | 23. Dynamic Programming | Design & Analysis of Algorithms - Vol 2
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Greedy Strategy in Interval Scheduling

23.5 - Greedy Strategy in Interval Scheduling

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define the greedy strategy.

💡 Hint: Think about immediate benefits in decision-making.

Question 2 Easy

What is the interval scheduling problem?

💡 Hint: Consider how overlapping requests affect outcomes.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary goal in the interval scheduling problem?

Maximize the total weight
Maximize the number of bookings
Minimize overlapping requests

💡 Hint: Think about what the objective is when managing schedules.

Question 2

True or False: The greedy strategy is guaranteed to find an optimal solution for all kinds of scheduling problems.

True
False

💡 Hint: Consider cases when weights complicate the decision.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the intervals (1, 4), (2, 5), (3, 6), and associated weights of 3, 2, and 6 respectively, determine the optimal schedule using a dynamic programming approach.

💡 Hint: Break down the intervals into sub-problems and calculate the total weights.

Challenge 2 Hard

Devise a greedy algorithm for the weighted interval scheduling problem and analyze its efficiency compared to dynamic programming.

💡 Hint: Consider how choosing higher weights over finishing times may not always yield the best outcome.

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