Practice Pseudo Code for Longest Path - 25.1.8 | 25. DAGs: Longest Paths | Design & Analysis of Algorithms - Vol 1
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a Directed Acyclic Graph (DAG).

💡 Hint: Remember the meaning of acyclic.

Question 2

Easy

What is the result of topological sorting?

💡 Hint: Think about the dependencies represented by edges.

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 Directed Acyclic Graph?

  • A graph with cycles
  • A graph with directed edges
  • A graph with directed edges and no cycles

💡 Hint: Focus on both directed edges and cyclic properties.

Question 2

True or False: In a DAG, the longest path can always be found in linear time if using the correct algorithm.

  • True
  • False

💡 Hint: Remember the connection between sorting and pathfinding.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a DAG representing a project with 10 tasks, where each task has dependencies. Construct the graph and calculate the longest path.

💡 Hint: Focus on representing dependencies well.

Question 2

Modify the previous DAG by adding a new task with dependencies, then recalculate the longest path.

💡 Hint: Ensure the new task is correctly added to the workflow.

Challenge and get performance evaluation