Practice Naive vs. Incremental Computation - 25.1.6 | 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

What is a Directed Acyclic Graph (DAG)?

💡 Hint: Think about arrows and paths.

Question 2

Easy

What does topological sorting accomplish?

💡 Hint: Consider task dependencies.

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 defines a Directed Acyclic Graph (DAG)?

  • Has cycles
  • No cycles
  • Is undirected

💡 Hint: Focus on the acyclic part.

Question 2

Topological sorting arranges vertices in what manner?

  • True
  • False

💡 Hint: Think about the prerequisite relationships.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a set of tasks with dependencies listed as pairs (A, B) meaning A must be done before B, design a DAG and determine the longest path.

💡 Hint: Map out tasks visually.

Question 2

You have a set of 10 courses with specified prerequisites. How would you use the longest path concept to determine the course load a student would have each semester?

💡 Hint: Using a graph drawing can help clarify dependencies.

Challenge and get performance evaluation