Practice Selection Process - 19.4.2.2 | 19. Greedy algorithms: Interval scheduling | Design & Analysis of Algorithms - Vol 2
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Selection Process

19.4.2.2 - Selection Process

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define the term 'Greedy Algorithm.'

💡 Hint: Think about how such decisions can affect the outcome.

Question 2 Easy

What is the primary goal of interval scheduling?

💡 Hint: Consider the implications of overlapping time slots.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a greedy algorithm?

A method that guarantees optimal solutions.
An approach that makes locally optimal choices.
A strategy that avoids all risks.

💡 Hint: Remember the nature of decision-making.

Question 2

True or False: The finish-time strategy always yields an optimal solution in interval scheduling.

True
False

💡 Hint: Consider the foundational proof discussed in class.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the intervals [(0, 5), (1, 2), (3, 4), (2, 3), (4, 6)], find the maximum number of non-overlapping intervals using the finish-time strategy.

💡 Hint: Pay attention to finish times and overlaps.

Challenge 2 Hard

Demonstrate the failure of the shortest interval strategy with an example of your own design.

💡 Hint: Analyze how overlaps change outcomes.

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