Practice Negative Cycles - 27.2.4 | 27. Mathematical Institute | Design & Analysis of Algorithms - Vol 1
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the primary purpose of Dijkstra's algorithm?

💡 Hint: Think of how a navigator finds the quickest route.

Question 2

Easy

What do we call the local choices made in greedy algorithms?

💡 Hint: Consider what happens when you always pick the smallest option.

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 does Dijkstra's algorithm primarily find?

  • Shortest paths from multiple sources
  • Shortest paths from one source
  • All paths in a graph

💡 Hint: Recall which vertex serves as the starting point.

Question 2

True or False: Negative cycles can exist without negative edges.

  • True
  • False

💡 Hint: Think about the costs involved in each cycle.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a directed graph with 5 vertices and establish both positive and negative weights. Identify if the graph contains a negative cycle, and apply Dijkstra’s algorithm to see how it handles paths.

💡 Hint: Trace paths and calculate costs to either reveal a negative cycle or establish valid shortest paths.

Question 2

Design an example illustrating how Dijkstra's algorithm efficiently manages a scenario without negative weights and compare the result when negative weights are added.

💡 Hint: Keep track of which edges optimize paths best.

Challenge and get performance evaluation