13.3.3 - Greedy Algorithms
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is a greedy algorithm?
💡 Hint: Think about immediate benefits in decision making.
Give an example where greedy algorithms might work.
💡 Hint: Consider a situation with limits and rewards.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What defines a greedy algorithm?
💡 Hint: Think about how decisions are made in real time.
True or False: Greedy algorithms always guarantee an optimal solution.
💡 Hint: Recall examples where greedy did not work.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Explain how you would approach the Knapsack Problem using a greedy algorithm, including a specific example with weights and values.
💡 Hint: Calculate ratios and sort accordingly to maximize value.
Given coins of denominations 1, 3, and 4, and needing to make 6, what does a greedy approach suggest and why would it fail?
💡 Hint: Consider how the choices are made and the values involved.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.