Practice Greedy Algorithms - 1.3.2 | 1. Welcome to the NPTEL MOOC on Design and Analysis of Algorithms | Design & Analysis of Algorithms - Vol 1
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1.3.2 - Greedy Algorithms

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Describe what a greedy algorithm does.

💡 Hint: Think about making decisions based only on immediate gains.

Question 2

Easy

Give an example of a simple problem suitable for a greedy algorithm.

💡 Hint: Consider how you would make change with different coin denominations.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is a greedy algorithm?

💡 Hint: Focus on the idea of immediate benefits or gains.

Question 2

True or False: Greedy algorithms are guaranteed to always find the optimal solution.

  • True
  • False

💡 Hint: Consider scenarios like the Knapsack Problem.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a set of intervals, design a greedy algorithm to find the maximum number of non-overlapping intervals.

💡 Hint: Think about how to select the intervals based on their start and end times.

Question 2

If you were to design a greedy algorithm for the traveling salesman problem, what approach would you take, and how would you prove its efficiency?

💡 Hint: Consider how greedy algorithms might not consider future travel needs.

Challenge and get performance evaluation