25.1.8 - Pseudo Code for Longest Path
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
Define a Directed Acyclic Graph (DAG).
💡 Hint: Remember the meaning of acyclic.
What is the result of topological sorting?
💡 Hint: Think about the dependencies represented by edges.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is a Directed Acyclic Graph?
💡 Hint: Focus on both directed edges and cyclic properties.
True or False: In a DAG, the longest path can always be found in linear time if using the correct algorithm.
💡 Hint: Remember the connection between sorting and pathfinding.
Get performance evaluation
Challenge Problems
Push your limits with advanced challenges
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.
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.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.