Practice Problem Description - 19.3.1 | 19. Greedy algorithms: Interval scheduling | Design & Analysis of Algorithms - Vol 2
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Problem Description

19.3.1 - Problem Description

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.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a greedy algorithm?

💡 Hint: Think about how these choices impact future options.

Question 2 Easy

Why might choosing the earliest start time not lead to an optimal solution?

💡 Hint: Consider what happens if a longer booking overlaps.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main disadvantage of selecting the earliest start time for interval scheduling?

It guarantees maximum bookings
It may block better options
It is always optimal

💡 Hint: Think about the implications of time overlaps.

Question 2

True or False: Greedy algorithms always lead to a global optimum.

True
False

💡 Hint: Consider scenarios when greedy choices limit options.

Get performance evaluation

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Devise and evaluate a greedy strategy for another scheduling problem, like job scheduling with different priorities.

💡 Hint: Consider conflicts and how priorities might change scheduling dynamics.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.